easypower: Sample Size Estimation for Experimental Designs

Power analysis is used in the estimation of sample sizes for experimental designs. Most programs and R packages will only output the highest recommended sample size to the user. Often the user input can be complicated and computing multiple power analyses for different treatment comparisons can be time consuming. This package simplifies the user input and allows the user to view all of the sample size recommendations or just the ones they want to see. The calculations used to calculate the recommended sample sizes are from the 'pwr' package.

Version:	1.0.1
Imports:	pwr (≥ 1.1-3)
Suggests:	knitr
Published:	2015-11-06
Author:	Aaron McGarvey
Maintainer:	Aaron McGarvey <amcgarve at mail.uoguelph.ca>
License:	GPL (≥ 3)
NeedsCompilation:	no
In views:	ExperimentalDesign
CRAN checks:	easypower results

Documentation:

Reference manual:	easypower.pdf
Vignettes:	Factorial ANOVA Examples

Downloads:

Package source:	easypower_1.0.1.tar.gz
Windows binaries:	r-devel: easypower_1.0.1.zip, r-release: easypower_1.0.1.zip, r-oldrel: easypower_1.0.1.zip
macOS binaries:	r-release (arm64): easypower_1.0.1.tgz, r-oldrel (arm64): easypower_1.0.1.tgz, r-release (x86_64): easypower_1.0.1.tgz, r-oldrel (x86_64): easypower_1.0.1.tgz

Reverse dependencies:

Reverse imports:

PSS.Health

Linking:

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