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
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
CRAN checks: MPS results

Downloads:

Reference manual: MPS.pdf
Package source: MPS_2.3.1.tar.gz
Windows binaries: r-devel: MPS_2.3.1.zip, r-devel-gcc8: MPS_2.3.1.zip, r-release: MPS_2.3.1.zip, r-oldrel: MPS_2.3.1.zip
OS X binaries: r-release: MPS_2.3.1.tgz, r-oldrel: MPS_2.3.1.tgz
Old sources: MPS archive

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