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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.

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