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 experiment variants of
(expected) prospective power analyses,
criterion analyses, compromise analyses, sensitivity analyses, and
a priori/post-hoc analyses. The default simulation experiment functions defined within the package
provide stochastic variants of the power analysis subroutines in
G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>,
along with various other parametric and non-parametric power analysis
applications (e.g., mediation analyses). Additional functions for building
empirical power curves, reanalyzing simulation information, and
for increasing the precision of the resulting power
estimates are also included, each of which utilize similar API structures.
| Version: |
0.3.1 |
| Depends: |
SimDesign (≥ 2.20.0), R (≥ 4.1.0), stats |
| Imports: |
cocor, car, polycor, parallelly, methods, ggplot2, plotly, lavaan, EnvStats |
| Suggests: |
knitr, rmarkdown, bookdown, VGAM, copula, pwr |
| Published: |
2025-07-17 |
| 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:
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