Package: Spower
Title: Power Analyses using Monte Carlo Simulations
Version: 0.2.3
Authors@R: 
   person("Phil", family="Chalmers", email =
                     "rphilip.chalmers@gmail.com", role = c("aut", "cre"), 
                     comment = c(ORCID="0000-0001-5332-2810"))
Description: 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.
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
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
Repository: CRAN
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
URL: https://github.com/philchalmers/Spower
BugReports: https://github.com/philchalmers/Spower/issues?state=open
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-05-21 14:24:04 UTC; philchalmers
Author: Phil Chalmers [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5332-2810>)
Date/Publication: 2025-05-21 15:00:02 UTC
Built: R 4.3.3; ; 2025-05-22 01:02:09 UTC; unix
