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:
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