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 list of supported models in insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.

Version: 0.4.4-1
Depends: R (≥ 3.4)
Imports: bayestestR (≥ 0.8.2), insight (≥ 0.13.2), parameters (≥ 0.12.0), stats, utils
Suggests: boot, correlation, covr, dplyr, gamm4, ggplot2, knitr, lme4, lmerTest, modelbased, performance, rmarkdown, rstanarm, rstantools, see, spelling, testthat, tidyr
Enhances: afex, BayesFactor, brms, car, emmeans, lavaan, lm.beta, MASS, mediation, MuMIn, pscl, tidymodels
Published: 2021-04-05
Author: Mattan S. Ben-Shachar ORCID iD [aut, cre], Dominique Makowski ORCID iD [aut], Daniel Lüdecke ORCID iD [aut], Indrajeet Patil ORCID iD [ctb] (@patilindrajeets), 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-US
Citation: effectsize citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: effectsize results


Reference manual: effectsize.pdf
Vignettes: Effect sizes for ANOVAs
Effect Sizes for Bayesian Models
Converting Between Indices of Effect Size
Effect Size from Test Statistics
Automated Interpretation of Indices of Effect Size
Effect Sizes for Simple Hypothesis Tests
Data Standardization
Parameter and Model Standardization
Package source: effectsize_0.4.4-1.tar.gz
Windows binaries: r-devel: effectsize_0.4.4-1.zip, r-release: effectsize_0.4.4-1.zip, r-oldrel: effectsize_0.4.4-1.zip
macOS binaries: r-release: effectsize_0.4.4-1.tgz, r-oldrel: effectsize_0.4.4-1.tgz
Old sources: effectsize archive

Reverse dependencies:

Reverse imports: correlation, groupedstats, multifear, psycho, report, see, sjPlot, sjstats, statsExpressions, tidyBF
Reverse suggests: bayestestR, bruceR, gtsummary, insight, modelbased, parameters


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