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
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

Reverse dependencies:

Reverse imports: TesiproV

Linking:

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