TOSTER: Two One-Sided Tests (TOST) Equivalence Testing

Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.

Version: 0.4.2
Depends: R (≥ 3.5)
Imports: stats, graphics, jmvcore (≥ 0.9.6.4), ggplot2, ggdist, distributional, cowplot, tidyr, utils
Suggests: knitr, rmarkdown, broom, car, afex, testthat (≥ 3.0.0)
Published: 2022-09-20
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49 at gmail.com>
License: GPL-3
URL: https://aaroncaldwell.us/TOSTERpkg/
NeedsCompilation: no
Citation: TOSTER citation info
Materials: README NEWS
CRAN checks: TOSTER results

Documentation:

Reference manual: TOSTER.pdf
Vignettes: An Introduction to t_TOST
Introduction to Equivalence Testing with TOSTER
Standardized Mean Differences
Robust TOST Procedures
Equivalence Testing for F-tests

Downloads:

Package source: TOSTER_0.4.2.tar.gz
Windows binaries: r-devel: TOSTER_0.4.2.zip, r-release: TOSTER_0.4.2.zip, r-oldrel: TOSTER_0.3.4.zip
macOS binaries: r-release (arm64): TOSTER_0.4.2.tgz, r-oldrel (arm64): TOSTER_0.4.2.tgz, r-release (x86_64): TOSTER_0.4.2.tgz, r-oldrel (x86_64): TOSTER_0.4.2.tgz
Old sources: TOSTER archive

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