Perform user-friendly power analyses for the bivariate random intercept cross-lagged panel model (RI-CLPM). The strategy as proposed by Mulder (2022) <doi:10.1080/10705511.2022.2122467> is implemented. Extended power analysis options include the use of bounded estimation, inclusion of measurement error in the data generating model and estimation model (i.e., the stable trait autoregressive trait state, STARTS, model), imposing various constraints over time on the parameters of the estimation model, among others.
Version: | 0.1.1 |
Depends: | R (≥ 4.0.0), stats, utils |
Imports: | dplyr, furrr, future, ggplot2, lavaan (≥ 0.6.7), progressr, purrr, rlang |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2023-02-07 |
DOI: | 10.32614/CRAN.package.powRICLPM |
Author: | Jeroen Mulder [aut, cre], 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 Mulder (2022) Extensions Using Mplus Get started |
Package source: | powRICLPM_0.1.1.tar.gz |
Windows binaries: | r-devel: powRICLPM_0.1.1.zip, r-release: powRICLPM_0.1.1.zip, r-oldrel: powRICLPM_0.1.1.zip |
macOS binaries: | r-release (arm64): powRICLPM_0.1.1.tgz, r-oldrel (arm64): powRICLPM_0.1.1.tgz, r-release (x86_64): powRICLPM_0.1.1.tgz, r-oldrel (x86_64): powRICLPM_0.1.1.tgz |
Old sources: | powRICLPM archive |
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