DISTRIB: Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach

A different way for calculating pdf/pmf, cdf, quantile and random data such that the user is able to consider the name of related distribution as an argument and so easily can changed by a changing argument by user. It must be mentioned that the core and computation base of package 'DISTRIB' is package 'stats'. Although similar functions are introduced previously in package 'stats', but the package 'DISTRIB' has some special applications in some special computational programs.

Version: 1.0
Published: 2016-12-26
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami at uk.ac.ir>
License: LGPL (≥ 3)
NeedsCompilation: no
CRAN checks: DISTRIB results


Reference manual: DISTRIB.pdf


Package source: DISTRIB_1.0.tar.gz
Windows binaries: r-prerel: DISTRIB_1.0.zip, r-release: DISTRIB_1.0.zip, r-oldrel: DISTRIB_1.0.zip
macOS binaries: r-prerel (arm64): DISTRIB_1.0.tgz, r-release (arm64): DISTRIB_1.0.tgz, r-oldrel (arm64): DISTRIB_1.0.tgz, r-prerel (x86_64): DISTRIB_1.0.tgz, r-release (x86_64): DISTRIB_1.0.tgz

Reverse dependencies:

Reverse imports: AR, EM.Fuzzy, Sim.PLFN


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