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Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are given in Irmer et al. (2024b).
Version: | 0.1.1 |
Depends: | ggplot2, stats, utils |
Imports: | crayon, lavaan (≥ 0.6.16), mvtnorm, numDeriv, pbapply, rlang (≥ 1.1.0), stringr |
Suggests: | knitr, MplusAutomation (≥ 0.7-2), rmarkdown, semTools, simsem |
Published: | 2024-07-31 |
DOI: | 10.32614/CRAN.package.powerNLSEM |
Author: | Julien Patrick Irmer
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Maintainer: | Julien Patrick Irmer <jpirmer at gmail.com> |
BugReports: | https://github.com/jpirmer/powerNLSEM/issues |
License: | GPL-3 |
URL: | https://github.com/jpirmer/powerNLSEM |
NeedsCompilation: | no |
Citation: | powerNLSEM citation info |
Materials: | README NEWS |
CRAN checks: | powerNLSEM results |
Reference manual: | powerNLSEM.pdf |
Vignettes: |
powerNLSEM (source, R code) |
Package source: | powerNLSEM_0.1.1.tar.gz |
Windows binaries: | r-devel: powerNLSEM_0.1.1.zip, r-release: powerNLSEM_0.1.1.zip, r-oldrel: powerNLSEM_0.1.1.zip |
macOS binaries: | r-release (arm64): powerNLSEM_0.1.1.tgz, r-oldrel (arm64): powerNLSEM_0.1.1.tgz, r-release (x86_64): powerNLSEM_0.1.1.tgz, r-oldrel (x86_64): powerNLSEM_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.