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bootES

bootES ("bootstrap Effect Sizes") calculates bootstrap confidence intervals for (un)standardized effect-size measures using the bootstrap.

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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 here.

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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Install

install.packages('bootES')

Monthly Downloads

958

Version

1.3.0

License

GPL (>= 2)

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Last Published

April 10th, 2023

Functions in bootES (1.3.0)

bootES

bootES