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R-CMD-check lint

+

GH Pages built

rjd3highfreq provides functions for seasonal adjustment of high-frequency data displaying multiple, non integer periodicities. Pre-adjustment with extended airline model and Arima Model Based decomposition.

Installation @@ -263,7 +276,12 @@

Developers

- +
+

Dev status

+
    +
  • CRAN status
  • +
+
diff --git a/logo.svg b/logo.svg new file mode 100644 index 0000000..9a1d920 --- /dev/null +++ b/logo.svg @@ -0,0 +1,2293 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + rjd3highfreq + + github.com/rjdverse/rjd3highfreq + + diff --git a/news/index.html b/news/index.html index 507d04e..19d5924 100644 --- a/news/index.html +++ b/news/index.html @@ -1,5 +1,5 @@ -Changelog • rjd3highfreqChangelog • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/pkgdown.yml b/pkgdown.yml index 84e0026..0e1e73c 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.11 pkgdown: 2.0.9 pkgdown_sha: ~ articles: {} -last_built: 2024-06-07T11:39Z +last_built: 2024-06-12T14:52Z urls: reference: https://rjdverse.github.io/rjd3highfreq/reference article: https://rjdverse.github.io/rjd3highfreq/articles diff --git a/reference/dot-arima_extract.html b/reference/dot-arima_extract.html index 0b36c43..10ae8c4 100644 --- a/reference/dot-arima_extract.html +++ b/reference/dot-arima_extract.html @@ -1,5 +1,5 @@ -Title — .arima_extract • rjd3highfreqTitle — .arima_extract • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-extended_airline_loglevel.html b/reference/dot-extended_airline_loglevel.html index 6e20e41..355d8c3 100644 --- a/reference/dot-extended_airline_loglevel.html +++ b/reference/dot-extended_airline_loglevel.html @@ -1,5 +1,5 @@ -Title — .extended_airline_loglevel • rjd3highfreqTitle — .extended_airline_loglevel • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-extended_airline_outliers.html b/reference/dot-extended_airline_outliers.html index 3781f49..615e3c3 100644 --- a/reference/dot-extended_airline_outliers.html +++ b/reference/dot-extended_airline_outliers.html @@ -1,5 +1,5 @@ -Title — .extended_airline_outliers • rjd3highfreqTitle — .extended_airline_outliers • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-extendedairline_estimation.html b/reference/dot-extendedairline_estimation.html index 47bf381..d8ad62b 100644 --- a/reference/dot-extendedairline_estimation.html +++ b/reference/dot-extendedairline_estimation.html @@ -1,5 +1,5 @@ -Title — .extendedairline_estimation • rjd3highfreqTitle — .extendedairline_estimation • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-extendedairline_regarima.html b/reference/dot-extendedairline_regarima.html index 2851dca..2500704 100644 --- a/reference/dot-extendedairline_regarima.html +++ b/reference/dot-extendedairline_regarima.html @@ -1,5 +1,5 @@ -Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima • rjd3highfreqCreates a java RegArima models based on an extended airline spec — .extendedairline_regarima • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-extendedairline_spec.html b/reference/dot-extendedairline_spec.html index b14db28..bdbc3c4 100644 --- a/reference/dot-extendedairline_spec.html +++ b/reference/dot-extendedairline_spec.html @@ -1,5 +1,5 @@ -Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec • rjd3highfreqInternal routine to create an ExtendedAirlineSpec — .extendedairline_spec • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-plot_jd.html b/reference/dot-plot_jd.html index c07b854..a0c266a 100644 --- a/reference/dot-plot_jd.html +++ b/reference/dot-plot_jd.html @@ -1,5 +1,5 @@ -Custom Plot Function on JD+ template — .plot_jd • rjd3highfreqCustom Plot Function on JD+ template — .plot_jd • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/dot-ucm_extract.html b/reference/dot-ucm_extract.html index 9bf1f91..55dea62 100644 --- a/reference/dot-ucm_extract.html +++ b/reference/dot-ucm_extract.html @@ -1,5 +1,5 @@ -Title — .ucm_extract • rjd3highfreqTitle — .ucm_extract • rjd3highfreq @@ -40,7 +40,7 @@
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a/reference/fractionalAirlineDecomposition.html b/reference/fractionalAirlineDecomposition.html index 8aa54f2..00dd89c 100644 --- a/reference/fractionalAirlineDecomposition.html +++ b/reference/fractionalAirlineDecomposition.html @@ -1,5 +1,5 @@ -Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition • rjd3highfreqPerform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@

diff --git a/reference/fractionalAirlineDecomposition_raw.html b/reference/fractionalAirlineDecomposition_raw.html index d0f21cd..196bd38 100644 --- a/reference/fractionalAirlineDecomposition_raw.html +++ b/reference/fractionalAirlineDecomposition_raw.html @@ -1,5 +1,5 @@ -Title — fractionalAirlineDecomposition_raw • rjd3highfreqTitle — fractionalAirlineDecomposition_raw • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/fractionalAirlineDecomposition_ssf.html b/reference/fractionalAirlineDecomposition_ssf.html index 3390bea..6fd13c9 100644 --- a/reference/fractionalAirlineDecomposition_ssf.html +++ b/reference/fractionalAirlineDecomposition_ssf.html @@ -1,5 +1,5 @@ -Title — fractionalAirlineDecomposition_ssf • rjd3highfreqTitle — fractionalAirlineDecomposition_ssf • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/fractionalAirlineEstimation.html b/reference/fractionalAirlineEstimation.html index cbf75ec..6ee4155 100644 --- a/reference/fractionalAirlineEstimation.html +++ b/reference/fractionalAirlineEstimation.html @@ -1,5 +1,5 @@ -Linearize the series with a fractional airline model — fractionalAirlineEstimation • rjd3highfreqLinearize the series with a fractional airline model — fractionalAirlineEstimation • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/index.html b/reference/index.html index 18a9a80..0c360e4 100644 --- a/reference/index.html +++ b/reference/index.html @@ -1,5 +1,5 @@ -Function reference • rjd3highfreqFunction reference • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/jd2r_fractionalAirlineDecomposition.html b/reference/jd2r_fractionalAirlineDecomposition.html index e76ebf2..4b76e54 100644 --- a/reference/jd2r_fractionalAirlineDecomposition.html +++ b/reference/jd2r_fractionalAirlineDecomposition.html @@ -1,5 +1,5 @@ -Title — jd2r_fractionalAirlineDecomposition • rjd3highfreqTitle — jd2r_fractionalAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/jd2r_multiAirlineDecomposition.html b/reference/jd2r_multiAirlineDecomposition.html index 93c15ec..4f89e91 100644 --- a/reference/jd2r_multiAirlineDecomposition.html +++ b/reference/jd2r_multiAirlineDecomposition.html @@ -1,5 +1,5 @@ -Title — jd2r_multiAirlineDecomposition • rjd3highfreqTitle — jd2r_multiAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/multiAirlineDecomposition.html b/reference/multiAirlineDecomposition.html index b3282ff..85184c2 100644 --- a/reference/multiAirlineDecomposition.html +++ b/reference/multiAirlineDecomposition.html @@ -1,5 +1,5 @@ -Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition • rjd3highfreqPerform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/multiAirlineDecomposition_raw.html b/reference/multiAirlineDecomposition_raw.html index 5760b92..65318c8 100644 --- a/reference/multiAirlineDecomposition_raw.html +++ b/reference/multiAirlineDecomposition_raw.html @@ -1,5 +1,5 @@ -Title — multiAirlineDecomposition_raw • rjd3highfreqTitle — multiAirlineDecomposition_raw • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/multiAirlineDecomposition_ssf.html b/reference/multiAirlineDecomposition_ssf.html index 3075f85..f02449b 100644 --- a/reference/multiAirlineDecomposition_ssf.html +++ b/reference/multiAirlineDecomposition_ssf.html @@ -1,5 +1,5 @@ -Title — multiAirlineDecomposition_ssf • rjd3highfreqTitle — multiAirlineDecomposition_ssf • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/plot.JDFractionalAirlineDecomposition.html b/reference/plot.JDFractionalAirlineDecomposition.html index e85b64d..88d3e58 100644 --- a/reference/plot.JDFractionalAirlineDecomposition.html +++ b/reference/plot.JDFractionalAirlineDecomposition.html @@ -1,5 +1,5 @@ -Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition • rjd3highfreqPlot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/plot.JDFractionalAirlineEstimation.html b/reference/plot.JDFractionalAirlineEstimation.html index 878bf61..d80fdd3 100644 --- a/reference/plot.JDFractionalAirlineEstimation.html +++ b/reference/plot.JDFractionalAirlineEstimation.html @@ -1,5 +1,5 @@ -Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation • rjd3highfreqPlot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/print.JDFractionalAirlineDecomposition.html b/reference/print.JDFractionalAirlineDecomposition.html index 064b4db..cdbf3ae 100644 --- a/reference/print.JDFractionalAirlineDecomposition.html +++ b/reference/print.JDFractionalAirlineDecomposition.html @@ -1,5 +1,5 @@ -Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition • rjd3highfreqPrint method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/reference/print.JDFractionalAirlineEstimation.html b/reference/print.JDFractionalAirlineEstimation.html index da5f1d7..c9b7373 100644 --- a/reference/print.JDFractionalAirlineEstimation.html +++ b/reference/print.JDFractionalAirlineEstimation.html @@ -1,5 +1,5 @@ -Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation • rjd3highfreqPrint method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation • rjd3highfreq @@ -40,7 +40,7 @@
diff --git a/search.json b/search.json index ca81c6c..96ac533 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"https://rjdverse.github.io/rjd3highfreq/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jean Palate. Author, maintainer.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Palate J (2024). rjd3highfreq: Seasonal Adjustment High Frequency Data 'JDemetra+ 3.x'. R package version 2.1.1, https://rjdverse.github.io/rjd3highfreq/, https://github.com/rjdverse/rjd3highfreq.","code":"@Manual{, title = {rjd3highfreq: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.x'}, author = {Jean Palate}, year = {2024}, note = {R package version 2.1.1, https://rjdverse.github.io/rjd3highfreq/}, url = {https://github.com/rjdverse/rjd3highfreq}, }"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"rjd3highfreq","dir":"","previous_headings":"","what":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"rjd3highfreq provides functions seasonal adjustment high-frequency data displaying multiple, non integer periodicities. Pre-adjustment extended airline model Arima Model Based decomposition.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"Running rjd3 packages requires Java 17 higher. set configuration R explained can install development version rjd3highfreq GitHub :","code":"# Install development version from GitHub # install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3highfreq\")"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"demonstration-with-the-daily-french-births","dir":"","previous_headings":"","what":"Demonstration with the daily french births","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"Plot raw series: Preparation calendar package rjd3toolkit: Creation calendar regressor matrix package rjd3toolkit: Preprocessing function fractionalAirlineEstimation: Decomposition AMB (Arima Model Based) algorithm: Plot: Perform Arima Model Based (AMB) decomposition several periodcities : Plot comparison two AMB methods annual periodicity: package rjd3x11plus, can perform X-11 like decomposition (non integer) periodicity.","code":"library(\"rjd3highfreq\") ## Import of data df_daily <- read.csv2(\"https://raw.githubusercontent.com/TanguyBarthelemy/Tsace_RJD_Webinar_Dec22/b5fcf6b14ae47393554950547ef4788a0068a0f6/Data/TS_daily_births_franceM_1968_2020.csv\") # Creation of log variables to multiplicative model df_daily$log_births <- log(df_daily$births) df_daily$date <- as.Date(df_daily$date) # French calendar frenchCalendar <- rjd3toolkit::national_calendar(days = list( rjd3toolkit::fixed_day(7, 14), # Bastille Day rjd3toolkit::fixed_day(5, 8, validity = list(start = \"1982-05-08\")), # End of 2nd WW rjd3toolkit::special_day('NEWYEAR'), rjd3toolkit::special_day('MAYDAY'), # 1st may rjd3toolkit::special_day('EASTERMONDAY'), rjd3toolkit::special_day('ASCENSION'), rjd3toolkit::special_day('WHITMONDAY'), rjd3toolkit::special_day('ASSUMPTION'), rjd3toolkit::special_day('ALLSAINTSDAY'), # Toussaint rjd3toolkit::special_day('ARMISTICE'), # End of 1st WW rjd3toolkit::special_day('CHRISTMAS')) ) # Calendar regressor matrix cal_reg <- rjd3toolkit::holidays( calendar = frenchCalendar, start = \"1968-01-01\", length = nrow(df_daily), type = \"All\", nonworking = 7L) colnames(cal_reg) <- c(\"14th_july\", \"8th_may\", \"1st_jan\", \"1st_may\", \"east_mon\", \"asc\", \"pen_mon\", \"15th_aug\", \"1st_nov\", \"11th_nov\", \"Xmas\") pre_pro <- fractionalAirlineEstimation( y = df_daily$births, x = cal_reg, periods = 7, # weekly frequency outliers = c(\"ao\", \"wo\"), log = TRUE, y_time = df_daily$date) print(pre_pro) #> Number of observations: 19359 #> Start: 1968-01-01 #> End: 2020-12-31 #> #> Estimate MA parameters: #> MA_parameter Coef Coef_SE Tstat #> Theta(1) 0.7620698 0.005571472 136.7807 #> Theta(period = 7) 0.9731793 0.001413477 688.5002 #> #> Number of calendar regressors: 11 , Number of outliers : 7 #> #> TD regressors coefficients: #> Variable Coef Coef_SE Tstat #> 14th_july -0.1226 0.0047 -26.0615 #> 8th_may -0.1419 0.0054 -26.3419 #> 1st_jan -0.2223 0.0047 -47.3511 #> 1st_may -0.1225 0.0047 -26.2643 #> east_mon -0.1891 0.0046 -40.7635 #> asc -0.1726 0.0046 -37.1949 #> pen_mon -0.1900 0.0046 -40.9429 #> 15th_aug -0.1181 0.0047 -25.3461 #> 1st_nov -0.1503 0.0046 -32.5662 #> 11th_nov -0.1238 0.0046 -26.8142 #> Xmas -0.2310 0.0046 -49.7435 #> #> Outliers coefficients: #> Variable Coef Coef_SE Tstat #> WO.1999-12-31 -0.1762 0.0226 -7.7916 #> AO.1995-08-15 -0.2224 0.0340 -6.5503 #> WO.1999-12-24 -0.1447 0.0226 -6.3981 #> AO.2012-01-01 0.2098 0.0340 6.1786 #> AO.1998-07-14 -0.2101 0.0340 -6.1880 #> AO.1997-07-14 -0.2092 0.0340 -6.1602 #> AO.1995-05-01 -0.2042 0.0340 -6.0146 #> #> Sum of square residuals: 25.17 on 19330 degrees of freedom #> Log likelihood = 3.682e+04, #> aic = -7.361e+04, #> aicc = -7.361e+04, #> bic(corrected for length) = -6.635 #> Hannan–Quinn information criterion = -7.355e+04 plot(pre_pro, main = \"French births\") plot(x = pre_pro, from = as.Date(\"2000-01-01\"), to = as.Date(\"2000-12-31\"), main = \"French births in 2000\") # Decomposition with weekly pattern amb.dow <- rjd3highfreq::fractionalAirlineDecomposition( y = pre_pro$model$linearized, # linearized series from preprocessing period = 7, log = TRUE, y_time = df_daily$date) # Extract day-of-year pattern from day-of-week-adjusted linearised data amb.doy <- rjd3highfreq::fractionalAirlineDecomposition( y = amb.dow$decomposition$sa, # DOW-adjusted linearised data period = 365.2425, # day of year pattern log = TRUE, y_time = df_daily$date) plot(amb.dow, main = \"Weekly pattern\") plot(amb.dow, main = \"Weekly pattern - January 2018\", from = as.Date(\"2018-01-01\"), to = as.Date(\"2018-01-31\")) plot(amb.doy, main = \"Yearly pattern\") plot(amb.doy, main = \"Weekly pattern - 2000 - 2002\", from = as.Date(\"2000-01-01\"), to = as.Date(\"2002-12-31\")) amb.multi <- rjd3highfreq::multiAirlineDecomposition( y = pre_pro$model$linearized, # input time series periods = c(7, 365.2425), # 2 frequency log = TRUE, y_time = df_daily$date) plot(amb.multi) plot(amb.multi, main = \"2012\", from = as.Date(\"2012-01-01\"), to = as.Date(\"2012-12-31\"))"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"package-maintenance-and-contributing","dir":"","previous_headings":"","what":"Package Maintenance and contributing","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"contribution welcome done pull requests /issues. pull requests include updated tests updated documentation. functionality changed, docstrings added updated.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"code project licensed European Union Public Licence (EUPL).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .arima_extract","title":"Title — .arima_extract","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .arima_extract","text":"","code":".arima_extract(jrslt, path)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .arima_extract","text":"path","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extended_airline_loglevel","title":"Title — .extended_airline_loglevel","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extended_airline_loglevel","text":"","code":".extended_airline_loglevel(jregarima, jspec, precision = 1e-05)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extended_airline_loglevel","text":"precision","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extended_airline_outliers","title":"Title — .extended_airline_outliers","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extended_airline_outliers","text":"","code":".extended_airline_outliers( jregarima, jspec, types = c(\"ao\"), start = 0, end = 0, critical_value = 0, max_outliers = 30, max_round = 30 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extended_airline_outliers","text":"max_round","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extendedairline_estimation","title":"Title — .extendedairline_estimation","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extendedairline_estimation","text":"","code":".extendedairline_estimation( jregarima, jspec, eps = 1e-09, exactHessian = FALSE )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extendedairline_estimation","text":"exactHessian","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":null,"dir":"Reference","previous_headings":"","what":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"Creates java RegArima models based extended airline spec","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"","code":".extendedairline_regarima(y, jspec, mean = FALSE, X = NULL)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"y y jspec Java spec mean Mean correction (avoided) X Regression variables","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"Java RegArima model","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"","code":"jspec<-.extendedairline_spec(c(12)) .extendedairline_regarima(rjd3toolkit::ABS$X0.2.09.10.M, jspec) #> [1] \"Java-Object{jdplus.toolkit.base.core.regarima.RegArimaModel@59f99ea}\""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"Internal routine create ExtendedAirlineSpec","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"","code":".extendedairline_spec( periodicities, differencing = -1, ar = FALSE, toint = FALSE )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"periodicities Periodicities differencing Differnecing order. -1 automatic computation ar Use AR regular stationary polynomial instead MA polynomial toint Round periodicties integers","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"Java ExtendedAirlineSpec object","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"","code":".extendedairline_spec(c(7, 365.25)) #> [1] \"Java-Object{ExtendedAirlineSpec(mean=false, periodicities=[7.0, 365.25], differencingOrder=3, phi=null, theta=..., stheta=[..., ...], adjustToInt=false)}\""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom Plot Function on JD+ template — .plot_jd","title":"Custom Plot Function on JD+ template — .plot_jd","text":"function creates customized plot template JD+ GUI color forms.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom Plot Function on JD+ template — .plot_jd","text":"","code":".plot_jd(x, y, col, legend_txt = NULL, ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom Plot Function on JD+ template — .plot_jd","text":"x Numeric vector, x-axis values. y List numeric vectors, y-axis values different series. col Vector colors different series. legend_txt Character vector legend labels different series. ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom Plot Function on JD+ template — .plot_jd","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .ucm_extract","title":"Title — .ucm_extract","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .ucm_extract","text":"","code":".ucm_extract(jrslt, cmp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .ucm_extract","text":"cmp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"Perform Arima Model Based (AMB) decomposition","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"","code":"fractionalAirlineDecomposition( y, period, sn = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"y input time series. period period seasonal component, positive real number. sn decomposition signal noise (2 components ). signal seasonally adjusted series noise seasonal component. stde Boolean: TRUE: compute standard deviations components. cases (memory limits), currently possible compute nbcasts number backcasts. nfcasts number forecasts. y_time vector times `y` indexed adjust Boolean: TRUE: actual fractional airline model used, FALSE: period rounded nearest integer.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — fractionalAirlineDecomposition_raw","title":"Title — fractionalAirlineDecomposition_raw","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — fractionalAirlineDecomposition_raw","text":"","code":"fractionalAirlineDecomposition_raw( y, period, sn = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — fractionalAirlineDecomposition_raw","text":"nfcasts","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — fractionalAirlineDecomposition_ssf","title":"Title — fractionalAirlineDecomposition_ssf","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — fractionalAirlineDecomposition_ssf","text":"","code":"fractionalAirlineDecomposition_ssf(jdecomp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — fractionalAirlineDecomposition_ssf","text":"jdecomp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"Linearize series fractional airline model","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"","code":"fractionalAirlineEstimation( y, periods, x = NULL, ndiff = 2, ar = FALSE, mean = FALSE, outliers = NULL, criticalValue = 6, precision = 1e-12, approximateHessian = FALSE, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"y input time series. periods vector periods values seasonal component, positive real numbers. x matrix user-defined regression variables (see rjd3toolkit building calendar regressors). mean add constant mean y differencing. outliers type outliers sub vector c(\"AO\",\"LS\",\"WO\") criticalValue Critical value automatic outlier detection precision Precision likelihood approximateHessian Compute approximate hessian (based optimizing procedure) nfcasts Number forecasts log logical y_time vector times `y` indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — jd2r_fractionalAirlineDecomposition","title":"Title — jd2r_fractionalAirlineDecomposition","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — jd2r_fractionalAirlineDecomposition","text":"","code":"jd2r_fractionalAirlineDecomposition( jrslt, sn = FALSE, stde = FALSE, period, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — jd2r_fractionalAirlineDecomposition","text":"y_time vector times time series indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — jd2r_multiAirlineDecomposition","title":"Title — jd2r_multiAirlineDecomposition","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — jd2r_multiAirlineDecomposition","text":"","code":"jd2r_multiAirlineDecomposition( jrslt, stde = FALSE, periods, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — jd2r_multiAirlineDecomposition","text":"y_time vector times time series indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"Perform Arima Model Based (AMB) decomposition several periodcities ","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"","code":"multiAirlineDecomposition( y, periods, ndiff = 2, ar = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"y input time series. periods vector periods values seasonal component, positive real numbers. stde Boolean: TRUE: compute standard deviations components. cases (memory limits), currently possible compute nbcasts number backcasts. nfcasts number forecasts. y_time vector times `y` indexed adjust Boolean: TRUE: actual fractional airline model used, FALSE: period rounded nearest integer. sn decomposition signal noise (2 components ). signal seasonally adjusted series noise seasonal component.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — multiAirlineDecomposition_raw","title":"Title — multiAirlineDecomposition_raw","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — multiAirlineDecomposition_raw","text":"","code":"multiAirlineDecomposition_raw( y, periods, ndiff = 2, ar = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — multiAirlineDecomposition_raw","text":"nfcasts","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — multiAirlineDecomposition_ssf","title":"Title — multiAirlineDecomposition_ssf","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — multiAirlineDecomposition_ssf","text":"","code":"multiAirlineDecomposition_ssf(jdecomp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — multiAirlineDecomposition_ssf","text":"jdecomp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"function creates plot result Arima Model Based (AMB) decomposition one several frequencies (class `JDFractionalAirlineDecomposition`). shows decomposition component model.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"","code":"# S3 method for JDFractionalAirlineDecomposition plot(x, from, to, type_chart = c(\"y-sa-trend\", \"cal-seas-irr\"), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"x object class 'JDFractionalAirlineDecomposition'. `Date` `POSIXt` object, optional starting point x-axis. `Date` `POSIXt` object, optional ending point x-axis. type_chart Character vector specifying type chart plot (\"y-sa-trend\", \"cal-seas-irr\"). ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"function creates plot result fractional airline model (class `JDFractionalAirlineEstimation`). shows raw data linearized series.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"","code":"# S3 method for JDFractionalAirlineEstimation plot(x, from, to, ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"x object class 'JDFractionalAirlineEstimation'. `Date` `POSIXt` object, optional starting point x-axis. `Date` `POSIXt` object, optional ending point x-axis. ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"function prints informations result Fractional Airline model (classe JDFractionalAirlineDecomposition).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"","code":"# S3 method for JDFractionalAirlineDecomposition print(x, digits = max(3L, getOption(\"digits\") - 3L), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"x object class 'JDFractionalAirlineDecomposition'. digits Number digits round numerical values (default 3 digits - 3 options).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"original object 'x'.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"function prints informations result Fractional Airline model (classe JDFractionalAirlineEstimation).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"","code":"# S3 method for JDFractionalAirlineEstimation print(x, digits = max(3L, getOption(\"digits\") - 3L), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"x object class 'JDFractionalAirlineEstimation'. digits Number digits round numerical values (default 3 digits - 3 options).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"original object 'x'.","code":""}] +[{"path":"https://rjdverse.github.io/rjd3highfreq/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jean Palate. Author, maintainer.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Palate J (2024). rjd3highfreq: Seasonal Adjustment High Frequency Data 'JDemetra+ 3.x'. R package version 2.1.1, https://rjdverse.github.io/rjd3highfreq/, https://github.com/rjdverse/rjd3highfreq.","code":"@Manual{, title = {rjd3highfreq: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.x'}, author = {Jean Palate}, year = {2024}, note = {R package version 2.1.1, https://rjdverse.github.io/rjd3highfreq/}, url = {https://github.com/rjdverse/rjd3highfreq}, }"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"rjd3highfreq-","dir":"","previous_headings":"","what":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"rjd3highfreq provides functions seasonal adjustment high-frequency data displaying multiple, non integer periodicities. Pre-adjustment extended airline model Arima Model Based decomposition.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"Running rjd3 packages requires Java 17 higher. set configuration R explained can install development version rjd3highfreq GitHub :","code":"# Install development version from GitHub # install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3highfreq\")"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"demonstration-with-the-daily-french-births","dir":"","previous_headings":"","what":"Demonstration with the daily french births","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"Plot raw series: Preparation calendar package rjd3toolkit: Creation calendar regressor matrix package rjd3toolkit: Preprocessing function fractionalAirlineEstimation: Decomposition AMB (Arima Model Based) algorithm: Plot: Perform Arima Model Based (AMB) decomposition several periodcities : Plot comparison two AMB methods annual periodicity: package rjd3x11plus, can perform X-11 like decomposition (non integer) periodicity.","code":"library(\"rjd3highfreq\") ## Import of data df_daily <- read.csv2(\"https://raw.githubusercontent.com/TanguyBarthelemy/Tsace_RJD_Webinar_Dec22/b5fcf6b14ae47393554950547ef4788a0068a0f6/Data/TS_daily_births_franceM_1968_2020.csv\") # Creation of log variables to multiplicative model df_daily$log_births <- log(df_daily$births) df_daily$date <- as.Date(df_daily$date) # French calendar frenchCalendar <- rjd3toolkit::national_calendar(days = list( rjd3toolkit::fixed_day(7, 14), # Bastille Day rjd3toolkit::fixed_day(5, 8, validity = list(start = \"1982-05-08\")), # End of 2nd WW rjd3toolkit::special_day('NEWYEAR'), rjd3toolkit::special_day('MAYDAY'), # 1st may rjd3toolkit::special_day('EASTERMONDAY'), rjd3toolkit::special_day('ASCENSION'), rjd3toolkit::special_day('WHITMONDAY'), rjd3toolkit::special_day('ASSUMPTION'), rjd3toolkit::special_day('ALLSAINTSDAY'), # Toussaint rjd3toolkit::special_day('ARMISTICE'), # End of 1st WW rjd3toolkit::special_day('CHRISTMAS')) ) # Calendar regressor matrix cal_reg <- rjd3toolkit::holidays( calendar = frenchCalendar, start = \"1968-01-01\", length = nrow(df_daily), type = \"All\", nonworking = 7L) colnames(cal_reg) <- c(\"14th_july\", \"8th_may\", \"1st_jan\", \"1st_may\", \"east_mon\", \"asc\", \"pen_mon\", \"15th_aug\", \"1st_nov\", \"11th_nov\", \"Xmas\") pre_pro <- fractionalAirlineEstimation( y = df_daily$births, x = cal_reg, periods = 7, # weekly frequency outliers = c(\"ao\", \"wo\"), log = TRUE, y_time = df_daily$date) print(pre_pro) #> Number of observations: 19359 #> Start: 1968-01-01 #> End: 2020-12-31 #> #> Estimate MA parameters: #> MA_parameter Coef Coef_SE Tstat #> Theta(1) 0.7620698 0.005571472 136.7807 #> Theta(period = 7) 0.9731793 0.001413477 688.5002 #> #> Number of calendar regressors: 11 , Number of outliers : 7 #> #> TD regressors coefficients: #> Variable Coef Coef_SE Tstat #> 14th_july -0.1226 0.0047 -26.0615 #> 8th_may -0.1419 0.0054 -26.3419 #> 1st_jan -0.2223 0.0047 -47.3511 #> 1st_may -0.1225 0.0047 -26.2643 #> east_mon -0.1891 0.0046 -40.7635 #> asc -0.1726 0.0046 -37.1949 #> pen_mon -0.1900 0.0046 -40.9429 #> 15th_aug -0.1181 0.0047 -25.3461 #> 1st_nov -0.1503 0.0046 -32.5662 #> 11th_nov -0.1238 0.0046 -26.8142 #> Xmas -0.2310 0.0046 -49.7435 #> #> Outliers coefficients: #> Variable Coef Coef_SE Tstat #> WO.1999-12-31 -0.1762 0.0226 -7.7916 #> AO.1995-08-15 -0.2224 0.0340 -6.5503 #> WO.1999-12-24 -0.1447 0.0226 -6.3981 #> AO.2012-01-01 0.2098 0.0340 6.1786 #> AO.1998-07-14 -0.2101 0.0340 -6.1880 #> AO.1997-07-14 -0.2092 0.0340 -6.1602 #> AO.1995-05-01 -0.2042 0.0340 -6.0146 #> #> Sum of square residuals: 25.17 on 19330 degrees of freedom #> Log likelihood = 3.682e+04, #> aic = -7.361e+04, #> aicc = -7.361e+04, #> bic(corrected for length) = -6.635 #> Hannan–Quinn information criterion = -7.355e+04 plot(pre_pro, main = \"French births\") plot(x = pre_pro, from = as.Date(\"2000-01-01\"), to = as.Date(\"2000-12-31\"), main = \"French births in 2000\") # Decomposition with weekly pattern amb.dow <- rjd3highfreq::fractionalAirlineDecomposition( y = pre_pro$model$linearized, # linearized series from preprocessing period = 7, log = TRUE, y_time = df_daily$date) # Extract day-of-year pattern from day-of-week-adjusted linearised data amb.doy <- rjd3highfreq::fractionalAirlineDecomposition( y = amb.dow$decomposition$sa, # DOW-adjusted linearised data period = 365.2425, # day of year pattern log = TRUE, y_time = df_daily$date) plot(amb.dow, main = \"Weekly pattern\") plot(amb.dow, main = \"Weekly pattern - January 2018\", from = as.Date(\"2018-01-01\"), to = as.Date(\"2018-01-31\")) plot(amb.doy, main = \"Yearly pattern\") plot(amb.doy, main = \"Weekly pattern - 2000 - 2002\", from = as.Date(\"2000-01-01\"), to = as.Date(\"2002-12-31\")) amb.multi <- rjd3highfreq::multiAirlineDecomposition( y = pre_pro$model$linearized, # input time series periods = c(7, 365.2425), # 2 frequency log = TRUE, y_time = df_daily$date) plot(amb.multi) plot(amb.multi, main = \"2012\", from = as.Date(\"2012-01-01\"), to = as.Date(\"2012-12-31\"))"},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"package-maintenance-and-contributing","dir":"","previous_headings":"","what":"Package Maintenance and contributing","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"contribution welcome done pull requests /issues. pull requests include updated tests updated documentation. functionality changed, docstrings added updated.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Seasonal Adjustment of High Frequency Data with JDemetra+ 3.x","text":"code project licensed European Union Public Licence (EUPL).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .arima_extract","title":"Title — .arima_extract","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .arima_extract","text":"","code":".arima_extract(jrslt, path)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-arima_extract.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .arima_extract","text":"path","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extended_airline_loglevel","title":"Title — .extended_airline_loglevel","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extended_airline_loglevel","text":"","code":".extended_airline_loglevel(jregarima, jspec, precision = 1e-05)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_loglevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extended_airline_loglevel","text":"precision","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extended_airline_outliers","title":"Title — .extended_airline_outliers","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extended_airline_outliers","text":"","code":".extended_airline_outliers( jregarima, jspec, types = c(\"ao\"), start = 0, end = 0, critical_value = 0, max_outliers = 30, max_round = 30 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extended_airline_outliers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extended_airline_outliers","text":"max_round","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .extendedairline_estimation","title":"Title — .extendedairline_estimation","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .extendedairline_estimation","text":"","code":".extendedairline_estimation( jregarima, jspec, eps = 1e-09, exactHessian = FALSE )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_estimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .extendedairline_estimation","text":"exactHessian","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":null,"dir":"Reference","previous_headings":"","what":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"Creates java RegArima models based extended airline spec","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"","code":".extendedairline_regarima(y, jspec, mean = FALSE, X = NULL)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"y y jspec Java spec mean Mean correction (avoided) X Regression variables","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"Java RegArima model","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_regarima.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Creates a java RegArima models based on an extended airline spec — .extendedairline_regarima","text":"","code":"jspec<-.extendedairline_spec(c(12)) .extendedairline_regarima(rjd3toolkit::ABS$X0.2.09.10.M, jspec) #> [1] \"Java-Object{jdplus.toolkit.base.core.regarima.RegArimaModel@59f99ea}\""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"Internal routine create ExtendedAirlineSpec","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"","code":".extendedairline_spec( periodicities, differencing = -1, ar = FALSE, toint = FALSE )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"periodicities Periodicities differencing Differnecing order. -1 automatic computation ar Use AR regular stationary polynomial instead MA polynomial toint Round periodicties integers","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"Java ExtendedAirlineSpec object","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-extendedairline_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Internal routine to create an ExtendedAirlineSpec — .extendedairline_spec","text":"","code":".extendedairline_spec(c(7, 365.25)) #> [1] \"Java-Object{ExtendedAirlineSpec(mean=false, periodicities=[7.0, 365.25], differencingOrder=3, phi=null, theta=..., stheta=[..., ...], adjustToInt=false)}\""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom Plot Function on JD+ template — .plot_jd","title":"Custom Plot Function on JD+ template — .plot_jd","text":"function creates customized plot template JD+ GUI color forms.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom Plot Function on JD+ template — .plot_jd","text":"","code":".plot_jd(x, y, col, legend_txt = NULL, ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom Plot Function on JD+ template — .plot_jd","text":"x Numeric vector, x-axis values. y List numeric vectors, y-axis values different series. col Vector colors different series. legend_txt Character vector legend labels different series. ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-plot_jd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom Plot Function on JD+ template — .plot_jd","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — .ucm_extract","title":"Title — .ucm_extract","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — .ucm_extract","text":"","code":".ucm_extract(jrslt, cmp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/dot-ucm_extract.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — .ucm_extract","text":"cmp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"Perform Arima Model Based (AMB) decomposition","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"","code":"fractionalAirlineDecomposition( y, period, sn = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform an Arima Model Based (AMB) decomposition — fractionalAirlineDecomposition","text":"y input time series. period period seasonal component, positive real number. sn decomposition signal noise (2 components ). signal seasonally adjusted series noise seasonal component. stde Boolean: TRUE: compute standard deviations components. cases (memory limits), currently possible compute nbcasts number backcasts. nfcasts number forecasts. y_time vector times `y` indexed adjust Boolean: TRUE: actual fractional airline model used, FALSE: period rounded nearest integer.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — fractionalAirlineDecomposition_raw","title":"Title — fractionalAirlineDecomposition_raw","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — fractionalAirlineDecomposition_raw","text":"","code":"fractionalAirlineDecomposition_raw( y, period, sn = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — fractionalAirlineDecomposition_raw","text":"nfcasts","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — fractionalAirlineDecomposition_ssf","title":"Title — fractionalAirlineDecomposition_ssf","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — fractionalAirlineDecomposition_ssf","text":"","code":"fractionalAirlineDecomposition_ssf(jdecomp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineDecomposition_ssf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — fractionalAirlineDecomposition_ssf","text":"jdecomp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"Linearize series fractional airline model","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"","code":"fractionalAirlineEstimation( y, periods, x = NULL, ndiff = 2, ar = FALSE, mean = FALSE, outliers = NULL, criticalValue = 6, precision = 1e-12, approximateHessian = FALSE, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/fractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Linearize the series with a fractional airline model — fractionalAirlineEstimation","text":"y input time series. periods vector periods values seasonal component, positive real numbers. x matrix user-defined regression variables (see rjd3toolkit building calendar regressors). mean add constant mean y differencing. outliers type outliers sub vector c(\"AO\",\"LS\",\"WO\") criticalValue Critical value automatic outlier detection precision Precision likelihood approximateHessian Compute approximate hessian (based optimizing procedure) nfcasts Number forecasts log logical y_time vector times `y` indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — jd2r_fractionalAirlineDecomposition","title":"Title — jd2r_fractionalAirlineDecomposition","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — jd2r_fractionalAirlineDecomposition","text":"","code":"jd2r_fractionalAirlineDecomposition( jrslt, sn = FALSE, stde = FALSE, period, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_fractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — jd2r_fractionalAirlineDecomposition","text":"y_time vector times time series indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — jd2r_multiAirlineDecomposition","title":"Title — jd2r_multiAirlineDecomposition","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — jd2r_multiAirlineDecomposition","text":"","code":"jd2r_multiAirlineDecomposition( jrslt, stde = FALSE, periods, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/jd2r_multiAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — jd2r_multiAirlineDecomposition","text":"y_time vector times time series indexed","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"Perform Arima Model Based (AMB) decomposition several periodcities ","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"","code":"multiAirlineDecomposition( y, periods, ndiff = 2, ar = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0, log = FALSE, y_time = NULL )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform an Arima Model Based (AMB) decomposition on several periodcities at once — multiAirlineDecomposition","text":"y input time series. periods vector periods values seasonal component, positive real numbers. stde Boolean: TRUE: compute standard deviations components. cases (memory limits), currently possible compute nbcasts number backcasts. nfcasts number forecasts. y_time vector times `y` indexed adjust Boolean: TRUE: actual fractional airline model used, FALSE: period rounded nearest integer. sn decomposition signal noise (2 components ). signal seasonally adjusted series noise seasonal component.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — multiAirlineDecomposition_raw","title":"Title — multiAirlineDecomposition_raw","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — multiAirlineDecomposition_raw","text":"","code":"multiAirlineDecomposition_raw( y, periods, ndiff = 2, ar = FALSE, stde = FALSE, nbcasts = 0, nfcasts = 0 )"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — multiAirlineDecomposition_raw","text":"nfcasts","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — multiAirlineDecomposition_ssf","title":"Title — multiAirlineDecomposition_ssf","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — multiAirlineDecomposition_ssf","text":"","code":"multiAirlineDecomposition_ssf(jdecomp)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/multiAirlineDecomposition_ssf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — multiAirlineDecomposition_ssf","text":"jdecomp","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"function creates plot result Arima Model Based (AMB) decomposition one several frequencies (class `JDFractionalAirlineDecomposition`). shows decomposition component model.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"","code":"# S3 method for JDFractionalAirlineDecomposition plot(x, from, to, type_chart = c(\"y-sa-trend\", \"cal-seas-irr\"), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"x object class 'JDFractionalAirlineDecomposition'. `Date` `POSIXt` object, optional starting point x-axis. `Date` `POSIXt` object, optional ending point x-axis. type_chart Character vector specifying type chart plot (\"y-sa-trend\", \"cal-seas-irr\"). ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineDecomposition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Function for JDFractionalAirlineDecomposition Objects — plot.JDFractionalAirlineDecomposition","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"function creates plot result fractional airline model (class `JDFractionalAirlineEstimation`). shows raw data linearized series.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"","code":"# S3 method for JDFractionalAirlineEstimation plot(x, from, to, ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"x object class 'JDFractionalAirlineEstimation'. `Date` `POSIXt` object, optional starting point x-axis. `Date` `POSIXt` object, optional ending point x-axis. ... Additional graphical parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/plot.JDFractionalAirlineEstimation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Function for JDFractionalAirlineEstimation Objects — plot.JDFractionalAirlineEstimation","text":"`NULL` (invisible).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":null,"dir":"Reference","previous_headings":"","what":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"function prints informations result Fractional Airline model (classe JDFractionalAirlineDecomposition).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"","code":"# S3 method for JDFractionalAirlineDecomposition print(x, digits = max(3L, getOption(\"digits\") - 3L), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"x object class 'JDFractionalAirlineDecomposition'. digits Number digits round numerical values (default 3 digits - 3 options).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineDecomposition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print method for 'JDFractionalAirlineDecomposition' objects — print.JDFractionalAirlineDecomposition","text":"original object 'x'.","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":null,"dir":"Reference","previous_headings":"","what":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"function prints informations result Fractional Airline model (classe JDFractionalAirlineEstimation).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"","code":"# S3 method for JDFractionalAirlineEstimation print(x, digits = max(3L, getOption(\"digits\") - 3L), ...)"},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"x object class 'JDFractionalAirlineEstimation'. digits Number digits round numerical values (default 3 digits - 3 options).","code":""},{"path":"https://rjdverse.github.io/rjd3highfreq/reference/print.JDFractionalAirlineEstimation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print method for 'JDFractionalAirlineEstimation' objects — print.JDFractionalAirlineEstimation","text":"original object 'x'.","code":""}]