distributions3: Probability Distributions as S3 Objects

Tools to create and manipulate probability distributions using S3. Generics random(), pdf(), cdf() and quantile() provide replacements for base R's r/d/p/q style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.

Version: 0.2.0
Imports: ellipsis, ggplot2, glue
Suggests: covr, cowplot, knitr, revdbayes (≥ 1.3.5), rmarkdown, testthat (≥ 3.0.0)
Published: 2022-06-21
Author: Alex Hayes ORCID iD [aut, cre], Ralph Moller-Trane [aut], Emil Hvitfeldt ORCID iD [ctb], Daniel Jordan [aut], Paul Northrop [aut], Moritz N. Lang ORCID iD [aut], Achim Zeileis ORCID iD [aut], Bruna Wundervald [ctb], Alessandro Gasparini [ctb]
Maintainer: Alex Hayes <alexpghayes at gmail.com>
BugReports: https://github.com/alexpghayes/distributions3/issues
License: MIT + file LICENSE
URL: https://github.com/alexpghayes/distributions3, https://alexpghayes.github.io/distributions3/
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: distributions3 results


Reference manual: distributions3.pdf
Vignettes: Intro to hypothesis testing
One sample sign tests
One sample T-tests
Z confidence interval for a mean
One sample Z-tests for a proportion
One sample Z-tests
Paired tests
The Poisson distribution: From basic probability theory to regression models
Two sample Z-tests


Package source: distributions3_0.2.0.tar.gz
Windows binaries: r-devel: distributions3_0.2.0.zip, r-release: distributions3_0.2.0.zip, r-oldrel: distributions3_0.2.0.zip
macOS binaries: r-release (arm64): distributions3_0.2.0.tgz, r-oldrel (arm64): distributions3_0.2.0.tgz, r-release (x86_64): distributions3_0.2.0.tgz, r-oldrel (x86_64): distributions3_0.2.0.tgz
Old sources: distributions3 archive

Reverse dependencies:

Reverse imports: imaginator


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