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 Mulder [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 + file LICENSE |
URL: | https://jeroendmulder.github.io/powRICLPM/ |
NeedsCompilation: | no |
Citation: | powRICLPM citation info |
Materials: | README NEWS |
CRAN checks: | powRICLPM results |
Reference manual: | 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) |
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 |
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