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powRICLPM: Perform Power Analysis for the RI-CLPM and STARTS Model

Perform user-friendly power analyses for the random intercept cross-lagged panel model (RI-CLPM) and the bivariate stable trait autoregressive trait state (STARTS) model. The strategy as proposed by Mulder (2023) <doi:10.1080/10705511.2022.2122467> is implemented. Extensions include the use of parameter constraints over time, bounded estimation, generation of data with skewness and kurtosis, and the option to setup the power analysis for Mplus.

Version:0.2.1
Depends:R (≥ 4.0.0), stats, utils
Imports:cli,future.apply,lavaan (≥ 0.6.7),lifecycle,progressr,rlang,ggplot2,future
Suggests:knitr,rmarkdown,testthat
Published:2024-10-26
DOI:10.32614/CRAN.package.powRICLPM
Author:Jeroen MulderORCID iD [aut, cre, cph], Netherlands Organization for Scientific Research [fnd]
Maintainer:Jeroen Mulder <j.d.mulder at uu.nl>
BugReports:https://github.com/JeroenDMulder/powRICLPM/issues/
License:MIT + fileLICENSE
URL:https://jeroendmulder.github.io/powRICLPM/
NeedsCompilation:no
Citation:powRICLPM citation info
Materials:README,NEWS
CRAN checks:powRICLPM results

Documentation:

Reference manual:powRICLPM.html ,powRICLPM.pdf
Vignettes:FAQ (source)
Extensions (source)
Get Started (source,R code)
impact-measurement-error (source,R code)
Using Mplus (source,R code)
Online Supplementary Materials Mulder (2023) (source,R code)

Downloads:

Package source: powRICLPM_0.2.1.tar.gz
Windows binaries: r-devel:powRICLPM_0.2.1.zip, r-release:powRICLPM_0.2.1.zip, r-oldrel:powRICLPM_0.2.1.zip
macOS binaries: r-release (arm64):powRICLPM_0.2.1.tgz, r-oldrel (arm64):powRICLPM_0.2.1.tgz, r-release (x86_64):powRICLPM_0.2.1.tgz, r-oldrel (x86_64):powRICLPM_0.2.1.tgz
Old sources: powRICLPM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=powRICLPMto link to this page.


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