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distributions3: Probability Distributions as S3 Objects
Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r 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.
Getting started
Package overview
README.md
Intro to hypothesis testing
One sample sign tests
One sample T-tests
One sample Z-tests
One sample Z-tests for a proportion
Paired tests
T confidence interval for a mean
The Poisson distribution: From basic probability theory to regression models
Two sample Z-tests
Z confidence interval for a mean
Browse package contents
Package details |
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| Author | Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Ralph Moller-Trane [aut], Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>), Daniel Jordan [aut], Paul Northrop [aut], Moritz N. Lang [aut] (<https://orcid.org/0000-0002-2533-9903>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Bruna Wundervald [ctb], Alessandro Gasparini [ctb] |
| Maintainer | Alex Hayes <alexpghayes@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| URL | https://github.com/alexpghayes/distributions3 https://alexpghayes.github.io/distributions3/ |
| Package repository | View on CRAN |
| Installation |
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