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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Spower to link to this page.
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