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.
- GitHub
- https://alexpghayes.github.io/distributions3/
- File a bug report
- distributions3 results
- distributions3.pdf
- Version0.2.2
- R versionunknown
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release09/16/2024
Documentation
- VignetteIntro to hypothesis testing
- Vignettesource
- VignetteR code
- VignetteOne sample sign tests
- Vignettesource
- VignetteR code
- Vignetteone-sample-t-confidence-interval
- Vignettesource
- VignetteR code
- VignetteOne sample T-tests
- Vignettesource
- VignetteR code
- VignetteZ confidence interval for a mean
- Vignettesource
- VignetteR code
- VignetteOne sample Z-tests for a proportion
- Vignettesource
- VignetteR code
- VignetteOne sample Z-tests
- Vignettesource
- VignetteR code
- VignettePaired tests
- Vignettesource
- VignetteR code
- VignetteThe Poisson distribution: From basic probability theory to regression models
- Vignettesource
- VignetteR code
- VignetteTwo sample Z-tests
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
- In ViewsDistributions
Team
Alex Hayes
Ralph Moller-Trane
Show author detailsRolesAuthorEmil Hvitfeldt
Daniel Jordan
Show author detailsRolesAuthorPaul Northrop
Show author detailsRolesAuthorMoritz N. Lang
Achim Zeileis
Bruna Wundervald
Show author detailsRolesContributorAlessandro Gasparini
Show author detailsRolesContributor
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- Imports3 packages
- Suggests8 packages
- Reverse Depends1 package
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- Reverse Suggests4 packages