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Easily creating empirical distribution functions from data: 'dfun', 'pfun', 'qfun' and 'rfun'.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2016-08-27 |
| DOI: | 10.32614/CRAN.package.edfun |
| Author: | Tal Galili [aut, cre, cph] (https://www.r-statistics.com) |
| Maintainer: | Tal Galili <tal.galili at gmail.com> |
| BugReports: | https://github.com/talgalili/edfun/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://cran.r-project.org/package=edfun, https://github.com/talgalili/edfun/, https://www.r-statistics.com/tag/edfun/ |
| NeedsCompilation: | no |
| Materials: | README NEWS ChangeLog |
| CRAN checks: | edfun results |
| Reference manual: | edfun.pdf |
| Vignettes: |
Introduction to edfun |
| Package source: | edfun_0.2.0.tar.gz |
| Windows binaries: | r-devel: edfun_0.2.0.zip, r-release: edfun_0.2.0.zip, r-oldrel: edfun_0.2.0.zip |
| macOS binaries: | r-release (arm64): edfun_0.2.0.tgz, r-oldrel (arm64): edfun_0.2.0.tgz, r-release (x86_64): edfun_0.2.0.tgz, r-oldrel (x86_64): edfun_0.2.0.tgz |
| Reverse imports: | hmix, TesiproV |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.