effectsize: Indices of Effect Size and Standardized Parameters

Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation and conversion of indices such as Cohen's d, r, odds, etc.

Version: 0.3.3
Depends: R (≥ 3.5)
Imports: insight (≥ 0.9.5), bayestestR (≥ 0.7.2), parameters (≥ 0.8.5), stats, utils
Suggests: afex, brms, boot, car, correlation, covr, dplyr, emmeans, gamm4, ggplot2, knitr, lmerTest, lm.beta, lme4, MuMIn, modelbased, performance, rlang, rmarkdown, rstan, rstanarm, rstantools, see, testthat, tidyr
Published: 2020-09-17
Author: Mattan S. Ben-Shachar ORCID iD [aut, cre], Dominique Makowski ORCID iD [aut], Daniel Lüdecke ORCID iD [aut], Ken Kelley [ctb], David Stanley [ctb]
Maintainer: Mattan S. Ben-Shachar <matanshm at post.bgu.ac.il>
BugReports: https://github.com/easystats/effectsize/issues/
License: GPL-3
URL: https://easystats.github.io/effectsize/
NeedsCompilation: no
Language: en-GB
Citation: effectsize citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: effectsize results


Reference manual: effectsize.pdf
Vignettes: Converting between indices of effect size
Effect Size from Test Statistics
Automated interpretation of indices of effect size
Effect sizes for logistic models
Data standardization
Parameters standardization
Package source: effectsize_0.3.3.tar.gz
Windows binaries: r-devel: effectsize_0.3.3.zip, r-release: effectsize_0.3.3.zip, r-oldrel: effectsize_0.3.3.zip
macOS binaries: r-release: effectsize_0.3.3.tgz, r-oldrel: effectsize_0.3.3.tgz
Old sources: effectsize archive

Reverse dependencies:

Reverse imports: correlation, ggstatsplot, groupedstats, psycho, see, sjPlot, sjstats, statsExpressions
Reverse suggests: gtsummary, modelbased, parameters


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