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 |
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: | TesiproV |
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