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new.dist: Alternative Continuous and Discrete Distributions

The aim is to develop an R package, which is the 'new.dist' package, for the probability (density) function, the distribution function, the quantile function and the associated random number generation function for discrete and continuous distributions, which have recently been proposed in the literature. This package implements the following distributions: The Power Muth Distribution, a Bimodal Weibull Distribution, the Discrete Lindley Distribution, The Gamma-Lomax Distribution, Weighted Geometric Distribution, a Power Log-Dagum Distribution, Kumaraswamy Distribution, Lindley Distribution, the Unit-Inverse Gaussian Distribution, EP Distribution, Akash Distribution, Ishita Distribution, Maxwell Distribution, the Standard Omega Distribution, Slashed Generalized Rayleigh Distribution, Two-Parameter Rayleigh Distribution, Muth Distribution, Uniform-Geometric Distribution, Discrete Weibull Distribution.

Version: 0.1.1
Imports: VGAM, expint, pracma
Suggests: knitr, rmarkdown, roxygen2, stats, testthat (≥ 3.0.0)
Published: 2023-12-09
DOI: 10.32614/CRAN.package.new.dist
Author: Ramazan Akman [cre, ctb] (https://www.researchgate.net/profile/Ramazan-Akman), Coşkun Kuş [aut, ctb] (https://www.selcuk.edu.tr/Person/Detail/coskun), Ihab Abusaif [aut, ctb] (https://www.researchgate.net/profile/Ihab-Abusaif)
Maintainer: Ramazan Akman <ramazanakman12345 at gmail.com>
BugReports: https://github.com/akmn35/new.dist/issues
License: GPL-3
URL: https://github.com/akmn35/new.dist, https://akmn35.github.io/new.dist/
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: new.dist results

Documentation:

Reference manual: new.dist.pdf
Vignettes: new_dist

Downloads:

Package source: new.dist_0.1.1.tar.gz
Windows binaries: r-devel: new.dist_0.1.1.zip, r-release: new.dist_0.1.1.zip, r-oldrel: new.dist_0.1.1.zip
macOS binaries: r-release (arm64): new.dist_0.1.1.tgz, r-oldrel (arm64): new.dist_0.1.1.tgz, r-release (x86_64): new.dist_0.1.1.tgz, r-oldrel (x86_64): new.dist_0.1.1.tgz
Old sources: new.dist archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=new.dist 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.