bootES
Bootstrap Confidence Intervals on Effect Sizes
Calculate robust measures of effect sizes using the bootstrap.
bootES
bootES ("bootstrap Effect Sizes") calculates bootstrap confidence intervals for
(un)standardized effect-size measures using the bootstrap.
Overview • Install • Get help • Contribute
Overview
bootES uses the 'boot' package to find bootstrap confidence intervals for
unstandardized and standardized effect-size measures appropriate for
experimental and survey research.
Calculate effect sizes for:
- mean effects
- mean differences
- contrasts
- correlations
- differences between correlations
A pre-print version of our article, bootES: An R Package for Bootstrap Confidence Intervals on Effect Sizes, is available.
Install
# Install from CRAN
install.packages("bootES")
# Install from Github
# install.packages("devtools")
devtools::install_github("dgerlanc/bootES")
Get help
Report bugs by opening an issue. If you have a question regarding the
usage of bootES, start a discussion.
Contributing
Issues may be filed using Github Issues.