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: 0.1.1
Imports: ellipsis, glue
Suggests: covr, cowplot, ggplot2, knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-09-03
Author: Alex Hayes ORCID iD [aut, cre], Ralph Moller-Trane [aut], Emil Hvitfeldt ORCID iD [ctb], Daniel Jordan [ctb], Bruna Wundervald [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
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: distributions3 results

Downloads:

Reference manual: distributions3.pdf
Vignettes: Intro to hypothesis testing
One sample sign tests
one-sample-t-confidence-interval
One sample T-tests
Z confidence interval for a mean
One sample Z-tests for a proportion
One sample Z-tests
Paired tests
Two sample Z-tests
Package source: distributions3_0.1.1.tar.gz
Windows binaries: r-devel: distributions3_0.1.1.zip, r-release: distributions3_0.1.1.zip, r-oldrel: distributions3_0.1.1.zip
OS X binaries: r-release: distributions3_0.1.1.tgz, r-oldrel: distributions3_0.1.1.tgz

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