[aut,
cre],
Ralph Moller-Trane [aut],
Emil Hvitfeldt
[ctb],
Daniel Jordan [ctb],
Bruna Wundervald [ctb]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 [aut,
cre],
Ralph Moller-Trane [aut],
Emil Hvitfeldt
[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 |
| 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 |
| macOS binaries: | r-release: distributions3_0.1.1.tgz, r-oldrel: distributions3_0.1.1.tgz |
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