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, 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: 2.3.0
Depends: R (≥ 3.1)
Published: 2018-10-19
Author: Mahdi Teimouri
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_2.3.0.tar.gz
Windows binaries: r-devel: MPS_2.3.0.zip, r-release: MPS_2.3.0.zip, r-oldrel: MPS_2.3.0.zip
OS X binaries: r-release: MPS_2.3.0.tgz, r-oldrel: MPS_2.3.0.tgz
Old sources: MPS archive

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