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Update docs for CRAN
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shangzhi-hong committed May 12, 2020
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5 changes: 3 additions & 2 deletions DESCRIPTION
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Package: RfEmpImp
Type: Package
Title: Multiple Imputation using Chained Random Forests
Version: 2.0.2
Version: 2.0.3
Authors@R: c(person("Shangzhi", "Hong", role = c("aut", "cre"),
email = "[email protected]"),
person("Henry S.", "Lynn", role = c("ths")))
Expand All @@ -15,7 +15,8 @@ Description: Functions for methods for multiple imputation using chained random
normality assumption are provided. For node-based imputation, the method
based on the conditional distribution formed by predicting nodes of random
forests and the method based on measures of proximities of random forests
are provided.
are provided. More details of the statistical methods can be found in
Hong et al. (2020) <arXiv:2004.14823>.
License: GPL-3
Encoding: UTF-8
LazyData: true
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2 changes: 1 addition & 1 deletion NEWS.md
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## RfEmpImp 2.0.2
## RfEmpImp 2.0.3
* Updated documentation for initial CRAN release
* Added logo file

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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -51,7 +51,7 @@ With version `2.0.0`, the names of parameters were further simplified, please
refer to the documentation for details.
For data with mixed types of variables, `RfEmp` method is a short cut for
using `RfPred.Emp` for continuous variables and `RfPred.Cate` for categorical
variables (of type `logical` or `factor`).
variables (of type `logical` or `factor`, etc.).
Example:
```r
# Prepare data
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -46,7 +46,7 @@ With version `2.0.0`, the names of parameters were further simplified,
please refer to the documentation for details.
For data with mixed types of variables, `RfEmp` method is a short cut
for using `RfPred.Emp` for continuous variables and `RfPred.Cate` for
categorical variables (of type `logical` or `factor`).
categorical variables (of type `logical` or `factor`, etc.).
Example:

``` r
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3 changes: 2 additions & 1 deletion man/RfEmpImp-package.Rd

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6 changes: 3 additions & 3 deletions man/imp.rfemp.Rd

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10 changes: 5 additions & 5 deletions man/mice.impute.rfemp.Rd

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4 changes: 2 additions & 2 deletions man/mice.impute.rfpred.emp.Rd

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