Statistical processing backend for 'ggstatsplot',
this package creates expressions with details from statistical tests.
It can additionally return dataframes with these results, which also
make these functions a more pipe-friendly way to do statistical
analysis. Currently, it supports only the most common types of
statistical approaches and tests: parametric, nonparametric, robust, and Bayesian
versions of t-test/ANOVA, correlation analyses, contingency table
analysis, and meta-analysis.
Version: |
0.7.1 |
Depends: |
R (≥ 3.6.0) |
Imports: |
afex, BayesFactor, correlation (≥ 0.6.0), dplyr, effectsize (≥ 0.4.3), insight (≥ 0.13.0), ipmisc (≥ 6.0.0), parameters (≥ 0.11.0), performance, rlang, stats, tidyr, WRS2 (≥ 1.1-1) |
Suggests: |
ggplot2, knitr, metaBMA, metafor, metaplus, purrr, rmarkdown, spelling, testthat, utils |
Published: |
2021-02-19 |
Author: |
Indrajeet Patil
[cre, aut, cph] (@patilindrajeets) |
Maintainer: |
Indrajeet Patil <patilindrajeet.science at gmail.com> |
BugReports: |
https://github.com/IndrajeetPatil/statsExpressions/issues |
License: |
GPL-3 | file LICENSE |
URL: |
https://indrajeetpatil.github.io/statsExpressions/,
https://github.com/IndrajeetPatil/statsExpressions |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
statsExpressions citation info |
Materials: |
README NEWS |
CRAN checks: |
statsExpressions results |