powerNLSEM: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

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) <doi:10.3758/s13428-024-02476-3>.

Version:	0.1.2
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:	2024-09-27
DOI:	10.32614/CRAN.package.powerNLSEM
Author:	Julien Patrick Irmer [aut, cre, cph]
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

Documentation:

Reference manual:	powerNLSEM.pdf
Vignettes:	powerNLSEM (source, R code)

Downloads:

Package source:	powerNLSEM_0.1.2.tar.gz
Windows binaries:	r-devel: powerNLSEM_0.1.2.zip, r-release: powerNLSEM_0.1.2.zip, r-oldrel: powerNLSEM_0.1.2.zip
macOS binaries:	r-release (arm64): powerNLSEM_0.1.2.tgz, r-oldrel (arm64): powerNLSEM_0.1.2.tgz, r-release (x86_64): powerNLSEM_0.1.2.tgz, r-oldrel (x86_64): powerNLSEM_0.1.2.tgz
Old sources:	powerNLSEM archive

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