_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-statsexpressions 1.6.1
Propagated dependencies: r-afex@1.4-1 r-bayesfactor@0.9.12-4.7 r-bayestestr@0.15.0 r-correlation@0.8.6 r-datawizard@0.13.0 r-dplyr@1.1.4 r-effectsize@0.8.9 r-glue@1.8.0 r-insight@0.20.5 r-magrittr@2.0.3 r-parameters@0.23.0 r-performance@0.12.4 r-pmcmrplus@1.9.12 r-purrr@1.0.2 r-rlang@1.1.4 r-tibble@3.2.1 r-tidyr@1.3.1 r-withr@3.0.2 r-wrs2@1.1-6 r-zeallot@0.1.0
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://indrajeetpatil.github.io/statsExpressions/
Licenses: GPL 3
Synopsis: Dataframes and expressions with statistical details
Description:

This package provides tools for creating detailed dataframes for common statistical approaches and tests. These include parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for ggstatsplot.

Total results: 1