infer: Tidy Statistical Inference

The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.

Version: 0.5.2
Depends: R (≥ 3.1.2)
Imports: dplyr (≥ 0.7.0), methods, tibble, rlang (≥ 0.2.0), ggplot2, magrittr, glue (≥ 1.3.0), grDevices, purrr
Suggests: broom, devtools (≥ 1.12.0), knitr, tidyr, rmarkdown, nycflights13, stringr, testthat, covr, vdiffr
Published: 2020-06-14
Author: Andrew Bray [aut, cre], Chester Ismay [aut], Evgeni Chasnovski [aut], Ben Baumer [aut], Mine Cetinkaya-Rundel [aut], Simon Couch [ctb], Ted Laderas [ctb], Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb], Neal Fultz [ctb], Doug Friedman [ctb], Richie Cotton [ctb], Brian Fannin [ctb]
Maintainer: Andrew Bray <abray at reed.edu>
BugReports: https://github.com/tidymodels/infer/issues
License: CC0
URL: https://github.com/tidymodels/infer, https://infer.netlify.com/
NeedsCompilation: no
Materials: NEWS
In views: TeachingStatistics
CRAN checks: infer results

Downloads:

Reference manual: infer.pdf
Vignettes: ANOVA
Chi-Squared Tests
infer
Full infer pipeline examples
t-Tests
Package source: infer_0.5.2.tar.gz
Windows binaries: r-devel: infer_0.5.2.zip, r-release: infer_0.5.2.zip, r-oldrel: infer_0.5.2.zip
macOS binaries: r-release: infer_0.5.2.tgz, r-oldrel: infer_0.5.2.tgz
Old sources: infer archive

Reverse dependencies:

Reverse imports: moderndive, tidymodels

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