Spower: Power Analyses using Monte Carlo Simulations

Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori analyses. The default simulation experiment functions found within the package provide stochastic variants of the power analyses subroutines found in the G*Power 3.1 software (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis examples (e.g., mediation analyses). Supporting functions are also included, such as for building empirical power curve estimates, which utilize a similar API structure.

Version:	0.2.3
Depends:	SimDesign (≥ 2.19.1), R (≥ 4.1.0), stats
Imports:	cocor, car, polycor, parallelly, methods, ggplot2, plotly, lavaan, EnvStats
Suggests:	knitr, rmarkdown, bookdown, VGAM, copula, pwr
Published:	2025-05-21
DOI:	10.32614/CRAN.package.Spower
Author:	Phil Chalmers [aut, cre]
Maintainer:	Phil Chalmers <rphilip.chalmers at gmail.com>
BugReports:	https://github.com/philchalmers/Spower/issues?state=open
License:	GPL (≥ 3)
URL:	https://github.com/philchalmers/Spower
NeedsCompilation:	no
Materials:	README
CRAN checks:	Spower results

Documentation:

Reference manual:	Spower.pdf
Vignettes:	G*Power examples evaluated with Spower (source)

Downloads:

Package source:	Spower_0.2.3.tar.gz
Windows binaries:	r-devel: Spower_0.2.3.zip, r-release: Spower_0.2.3.zip, r-oldrel: Spower_0.2.3.zip
macOS binaries:	r-release (arm64): Spower_0.2.3.tgz, r-oldrel (arm64): Spower_0.2.3.tgz, r-release (x86_64): Spower_0.2.3.tgz, r-oldrel (x86_64): Spower_0.2.3.tgz
Old sources:	Spower archive

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