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: 0.0.1
Depends: R (≥ 3.0)
Imports: insight (≥ 0.6.0), bayestestR (≥ 0.4.0), parameters (≥ 0.2.0), methods, stats, utils
Suggests: afex, brms, boot, covr, dplyr, emmeans, gamm4, ggplot2, knitr, lmerTest, lm.beta, lme4, MuMIn, performance, ppcor, rmarkdown, rstan, rstanarm, see, testthat, tidyr
Published: 2019-11-15
Author: Dominique Makowski ORCID iD [aut, cre], Daniel Lüdecke ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [aut], Ken Kelley [ctb], David Stanley [ctb]
Maintainer: Dominique Makowski <dom.makowski at gmail.com>
BugReports: https://github.com/easystats/effectsize/issues
License: GPL-3
URL: https://github.com/easystats/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: Effect sizes for Bayesian models
Converting between indices of effect size
Automated interpretation of indices of effect size
Data standardization
Parameters standardization
Package source: effectsize_0.0.1.tar.gz
Windows binaries: r-devel: effectsize_0.0.1.zip, r-devel-gcc8: effectsize_0.0.1.zip, r-release: effectsize_0.0.1.zip, r-oldrel: effectsize_0.0.1.zip
OS X binaries: r-release: effectsize_0.0.1.tgz, r-oldrel: effectsize_0.0.1.tgz

Reverse dependencies:

Reverse imports: modelbased, see, sjPlot
Reverse suggests: parameters


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