powRICLPM: Perform Power Analysis for the Random Intercept Cross-Lagged Panel Model

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.

Package details

AuthorJeroen Mulder [aut, cre] (<https://orcid.org/0000-0002-5553-0856>), Netherlands Organization for Scientific Research [fnd]
MaintainerJeroen Mulder <j.d.mulder@uu.nl>
LicenseMIT + file LICENSE
URL https://jeroendmulder.github.io/powRICLPM/
Package repositoryView on CRAN
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powRICLPM documentation built on Feb. 16, 2023, 9:35 p.m.