Package: powRICLPM 0.2.1

powRICLPM: Perform Power Analysis for the RI-CLPM and STARTS Model

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.

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

powRICLPM_0.2.1.tar.gz
powRICLPM_0.2.1.zip(r-4.7-any)powRICLPM_0.2.1.zip(r-4.6-any)powRICLPM_0.2.1.zip(r-4.5-any)
powRICLPM_0.2.1.tgz(r-4.6-any)powRICLPM_0.2.1.tgz(r-4.5-any)
powRICLPM_0.2.1.tar.gz(r-4.7-any)powRICLPM_0.2.1.tar.gz(r-4.6-any)
powRICLPM_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
powRICLPM/json (API)

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

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

Pkgdown/docs site:https://jeroendmulder.github.io

On CRAN:

Conda:

5.35 score 5 stars 15 scripts 475 downloads 3 exports 31 dependencies

Last updated from:ca94ccfbfe. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK199
source / vignettesOK217
linux-releaseOK156
macos-releaseOK189
macos-oldrelOK204
windows-develOK208
windows-releaseOK200
windows-oldrelOK211
wasm-releaseOK89

Exports:check_PhigivepowRICLPM

Dependencies:clicodetoolscpp11digestfarverfuturefuture.applyggplot2globalsgluegtableisobandlabelinglavaanlifecyclelistenvMASSmnormtnumDerivparallellypbivnormprogressrquadprogR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Get Started
Step 1: Determine experimental conditions | Step 2: Choose population parameter values | Steps 3-5: Perform the power analysis | Parallel processing using future | Progress bar using progressr | Step 6: Summarize results | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2024-10-25
Started: 2024-09-22

Using Mplus
Steps 1 and 2: Experimental conditions and population parameter values | Steps 3-5: Perform the power analysis | Step 6: Summarize results | References
Rendered frommplus.Rmdusingknitr::rmarkdown

Last update: 2024-10-21
Started: 2022-05-17

Extensions
Bounded estimation with lavaan | Constraints over time | Measurement error | Data with skewness and kurtosis | References
Rendered fromextensions.Rmdusingknitr::rmarkdown

Last update: 2024-09-25
Started: 2022-05-17

Measurement Error
Impact of Unmodeled Measurement Error
Rendered frommeasurement_error.Rmdusingknitr::rmarkdown

Last update: 2024-09-25
Started: 2024-09-22

FAQ
RI-CLPM extensions | Post hoc power analysis | References
Rendered fromFAQ.Rmdusingknitr::rmarkdown

Last update: 2024-09-23
Started: 2022-05-17

Online Supplementary Materials Mulder (2023)
Preliminary analysis | Validation
Rendered frommulder_power_2023.Rmdusingknitr::rmarkdown

Last update: 2024-09-22
Started: 2024-09-22