sjstats: Collection of Convenient Functions for Common Statistical Computations

Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effect size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more.

Version: 0.19.0
Depends: R (≥ 3.4), utils
Imports: datawizard, effectsize (≥ 0.8.8), insight, parameters, performance, stats
Suggests: brms, car, coin, ggplot2, lme4, MASS, pscl, pwr, survey, testthat
Published: 2024-05-14
DOI: 10.32614/CRAN.package.sjstats
Author: Daniel Lüdecke ORCID iD [aut, cre]
Maintainer: Daniel Lüdecke <d.luedecke at>
License: GPL-3
NeedsCompilation: no
Citation: sjstats citation info
Materials: README NEWS
CRAN checks: sjstats results


Reference manual: sjstats.pdf


Package source: sjstats_0.19.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sjstats_0.19.0.tgz, r-oldrel (arm64): sjstats_0.19.0.tgz, r-release (x86_64): sjstats_0.19.0.tgz, r-oldrel (x86_64): sjstats_0.19.0.tgz
Old sources: sjstats archive

Reverse dependencies:

Reverse imports: adventr, CGPfunctions, rosetta, sjPlot
Reverse suggests: ggeffects, sjmisc


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