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.">

powRICLPM: Perform Power Analysis for the RI-CLPM and STARTS Model (original) (raw)

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 ORCID 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 + file
URL: https://jeroendmulder.github.io/powRICLPM/
NeedsCompilation: no
Citation: powRICLPM citation info
Materials: README, NEWS
CRAN checks: powRICLPM results

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