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edfun: Creating Empirical Distribution Functions

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

Documentation:

Reference manual: edfun.pdf
Vignettes: Introduction to edfun

Downloads:

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 dependencies:

Reverse imports: hmix, TesiproV

Linking:

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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