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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 |
Please use the canonical form https://CRAN.R-project.org/package=edfun to link to this page.
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.
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