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Spower  

Power Analyses using Monte Carlo Simulations
View on CRAN: Click here


Download and install Spower package within the R console
Install from CRAN:
install.packages("Spower")

Install from Github:
library("remotes")
install_github("cran/Spower")

Install by package version:
library("remotes")
install_version("Spower", "0.5.1")



Attach the package and use:
library("Spower")
Maintained by
Phil Chalmers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-25
Latest Update: 2025-07-17
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 power analyses, compromise power analyses, sensitivity analyses, and prospective/post-hoc power analyses. The default simulation experiment functions found within the package provide stochastic variants of the power analyses subroutines found in the G*Power 3 software (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other 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.
How to cite:
Phil Chalmers (2025). Spower: Power Analyses using Monte Carlo Simulations. R package version 0.5.1, https://cran.r-project.org/web/packages/Spower. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2.2 (2025-03-25 16:40), 0.2.3 (2025-05-21 17:00), 0.3.1 (2025-07-17 11:10), 0.4.0 (2025-09-05 22:00), 0.5.0 (2025-10-16 22:00), 0.5.1 (2025-11-27 22:30), 0.6.2 (2026-05-05 22:00), 0.6.3 (2026-05-21 21:30), 0.6 (2026-02-13 18:40)
Other packages that cited Spower R package
View Spower citation profile
Other R packages that Spower depends, imports, suggests or enhances
Complete documentation for Spower
Functions, R codes and Examples using the Spower R package
Full Spower package functions and examples
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