Package: powRICLPM 0.1.1

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.

Authors:Jeroen Mulder [aut, cre], Netherlands Organization for Scientific Research [fnd]

powRICLPM_0.1.1.tar.gz
powRICLPM_0.1.1.zip(r-4.5)powRICLPM_0.1.1.zip(r-4.4)powRICLPM_0.1.1.zip(r-4.3)
powRICLPM_0.1.1.tgz(r-4.4-any)powRICLPM_0.1.1.tgz(r-4.3-any)
powRICLPM_0.1.1.tar.gz(r-4.5-noble)powRICLPM_0.1.1.tar.gz(r-4.4-noble)
powRICLPM_0.1.1.tgz(r-4.4-emscripten)powRICLPM_0.1.1.tgz(r-4.3-emscripten)
powRICLPM.pdf |powRICLPM.html
powRICLPM/json (API)
NEWS

# Install 'powRICLPM' in R:
install.packages('powRICLPM', repos = c('https://jeroendmulder.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jeroendmulder/powriclpm/issues

On CRAN:

4 exports 4 stars 1.02 score 45 dependencies 5 scripts 203 downloads

Last updated 2 years agofrom:332d062481. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:check_PhigivepowRICLPMpowRICLPM_Mplus

Dependencies:clicodetoolscolorspacedigestdplyrfansifarverfurrrfuturegenericsggplot2globalsgluegtableisobandlabelinglatticelavaanlifecyclelistenvmagrittrMASSMatrixmgcvmnormtmunsellnlmenumDerivparallellypbivnormpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Extensions

Rendered fromextensions.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2022-11-23
Started: 2022-05-17

FAQ

Rendered fromFAQ.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-02-17
Started: 2022-05-17

Get started

Rendered frompowRICLPM.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-01-26
Started: 2022-11-23

Online supplementary materials - R code Mulder (2022)

Rendered fromMulder2022.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2022-11-23
Started: 2022-05-17

Using Mplus

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Last update: 2023-01-26
Started: 2022-05-17