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: | 0.17.9 |
Depends: | R (≥ 3.2), utils |
Imports: | bayestestR (≥ 0.4.0), broom, dplyr (≥ 0.8.1), effectsize, emmeans, insight (≥ 0.8.0), lme4, magrittr, MASS, modelr, parameters (≥ 0.4.0), performance (≥ 0.4.0), purrr, rlang, sjlabelled (≥ 1.1.1), sjmisc (≥ 2.8.2), stats, tidyr |
Suggests: | brms, car, coin, ggplot2, graphics, httr, knitr, mediation, nlme, pbkrtest (≥ 0.4-7), pscl, pwr, sandwich, sjPlot, survey, rstan, rstanarm, VGAM, Zelig, testthat |
Published: | 2020-02-06 |
Author: | Daniel Lüdecke |
Maintainer: | Daniel Lüdecke <d.luedecke at uke.de> |
BugReports: | https://github.com/strengejacke/sjstats/issues |
License: | GPL-3 |
URL: | https://github.com/strengejacke/sjstats, https://strengejacke.github.io/sjstats |
NeedsCompilation: | no |
Citation: | sjstats citation info |
Materials: | README NEWS |
CRAN checks: | sjstats results |
Reference manual: | sjstats.pdf |
Vignettes: |
Statistics for Anova Tables Summary of Mediation Analysis using Bayesian Regression Models Statistics for Mixed Effects Models |
Package source: | sjstats_0.17.9.tar.gz |
Windows binaries: | r-devel: sjstats_0.17.9.zip, r-devel-gcc8: sjstats_0.17.8.zip, r-release: sjstats_0.17.9.zip, r-oldrel: sjstats_0.17.9.zip |
OS X binaries: | r-release: sjstats_0.17.9.tgz, r-oldrel: sjstats_0.17.9.tgz |
Old sources: | sjstats archive |
Reverse imports: | CGPfunctions, EMAtools, groupedstats, sjPlot, statsExpressions |
Reverse suggests: | ggeffects, parameters, sjmisc |
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