distributions3

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distributions3, inspired by the eponynmous Julia package, provides a generic function interface to probability distributions. distributions3 has two goals:

  1. Replace the rnorm(), pnorm(), etc, family of functions with S3 methods for distribution objects

  2. Be extremely well documented and friendly for students in intro stat classes.

The main generics are:

Installation

You can install distributions3 with:

install.packages("distributions3")

You can install the development version with:

install.packages("devtools")
devtools::install_github("alexpghayes/distributions3")

Basic Usage

The basic usage of distributions3 looks like:

library(distributions3)

X <- Bernoulli(0.1)

random(X, 10)
#>  [1] 0 1 0 0 0 0 0 0 0 0
pdf(X, 1)
#> [1] 0.1
cdf(X, 0)
#> [1] 0.9
quantile(X, 0.5)
#> [1] 0

Note that quantile() always returns lower tail probabilities. If you aren’t sure what this means, please read the last several paragraphs of vignette("one-sample-z-confidence-interval") and have a gander at the plot.

Contributing

distributions3 is not under active development, but is fairly stable and used by several academics for teaching intro stat courses. We are happy to review PRs contributing bug fixes. If you are interested in more actively maintaining and developing distributions3, please reach out on Github!

Please note that distributions3 is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

For a comprehensive overview of the many packages providing various distribution related functionality see the CRAN Task View.