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fix docs ref
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strengejacke committed Nov 27, 2024
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9 changes: 4 additions & 5 deletions R/1_model_parameters.R
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#' **scam**, **VGAM**, `Gam` (although the output of `Gam` is more Anova-alike),
#' `gamm`, ...
#' - [ANOVA][model_parameters.aov()]: **afex**, `aov`, `anova`, `Gam`, ...
#' - [Bayesian][model_parameters.stanreg()]: **BayesFactor**, **blavaan**, **brms**,
#' - [Bayesian][model_parameters.brmsfit()]: **BayesFactor**, **blavaan**, **brms**,
#' **MCMCglmm**, **posterior**, **rstanarm**, `bayesQR`, `bcplm`, `BGGM`, `blmrm`,
#' `blrm`, `mcmc.list`, `MCMCglmm`, ...
#' - [Clustering][model_parameters.hclust()]: **hclust**, **kmeans**, **mclust**, **pam**, ...
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#'
#' @param model Model object.
#' @param ci Confidence Interval (CI) level. Default to `0.95` (`95%`).
#' @param bootstrap Should estimates be based on bootstrapped model? If
#' `TRUE`, then arguments of [Bayesian
#' regressions][model_parameters.stanreg] apply (see also
#' [`bootstrap_parameters()`]).
#' @param bootstrap Should estimates be based on bootstrapped model? If `TRUE`,
#' then arguments of [Bayesian regressions][model_parameters.brmsfit] apply
#' (see also [`bootstrap_parameters()`]).
#' @param iterations The number of bootstrap replicates. This only apply in the
#' case of bootstrapped frequentist models.
#' @param standardize The method used for standardizing the parameters. Can be
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2 changes: 1 addition & 1 deletion man/model_parameters.Rd

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