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: |
0.19.1 |
| Depends: |
R (≥ 4.0), utils |
| Imports: |
datawizard, effectsize (≥ 0.8.8), insight, parameters, performance, stats |
| Suggests: |
brms, car, coin, ggplot2, lme4, MASS, pscl, pwr, survey, testthat |
| Published: |
2025-06-13 |
| DOI: |
10.32614/CRAN.package.sjstats |
| Author: |
Daniel Lüdecke 
[aut, cre] |
| Maintainer: |
Daniel Lüdecke <d.luedecke at uke.de> |
| BugReports: |
https://github.com/strengejacke/sjstats/issues |
| License: |
GPL-3 |
| URL: |
https://strengejacke.github.io/sjstats/ |
| NeedsCompilation: |
no |
| Citation: |
sjstats citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
sjstats results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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