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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=powRICLPM to link to this page.
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