The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

MPS: Estimating Through the Maximum Product Spacing Approach

Developed for computing the probability density function, computing the cumulative distribution function, computing the quantile function, random generation, drawing q-q plot, and estimating the parameters of 24 G-family of statistical distributions via the maximum product spacing approach introduced in <https://www.jstor.org/stable/2345411>. The set of families contains: beta G distribution, beta exponential G distribution, beta extended G distribution, exponentiated G distribution, exponentiated exponential Poisson G distribution, exponentiated generalized G distribution, exponentiated Kumaraswamy G distribution, gamma type I G distribution, gamma type II G distribution, gamma uniform G distribution, gamma-X generated of log-logistic family of G distribution, gamma-X family of modified beta exponential G distribution, geometric exponential Poisson G distribution, generalized beta G distribution, generalized transmuted G distribution, Kumaraswamy G distribution, log gamma type I G distribution, log gamma type II G distribution, Marshall Olkin G distribution, Marshall Olkin Kumaraswamy G distribution, modified beta G distribution, odd log-logistic G distribution, truncated-exponential skew-symmetric G distribution, and Weibull G distribution.

Version: 2.3.1
Depends: R (≥ 3.1)
Published: 2019-10-04
DOI: 10.32614/CRAN.package.MPS
Author: Mahdi Teimouri and Saralees Nadarajah
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Distributions
CRAN checks: MPS results

Documentation:

Reference manual: MPS.pdf

Downloads:

Package source: MPS_2.3.1.tar.gz
Windows binaries: r-devel: MPS_2.3.1.zip, r-release: MPS_2.3.1.zip, r-oldrel: MPS_2.3.1.zip
macOS binaries: r-release (arm64): MPS_2.3.1.tgz, r-oldrel (arm64): MPS_2.3.1.tgz, r-release (x86_64): MPS_2.3.1.tgz, r-oldrel (x86_64): MPS_2.3.1.tgz
Old sources: MPS archive

Linking:

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