MPS
swMATH ID:  5082 
Software Authors:  Mahdi Teimouri 
Description:  R package 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 Gfamily 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, gammaX generated of loglogistic family of G distribution, gammaX 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 loglogistic G distribution, truncatedexponential skewsymmetric G distribution, and Weibull G distribution. 
Homepage:  https://cran.rproject.org/web/packages/MPS/index.html 
Source Code:  https://github.com/cran/MPS 
Dependencies:  R 
Related Software:  AdequacyModel; Newdistns; R; CRAN 
Cited in:  0 Publications 
Standard Articles
1 Publication describing the Software  Year 

MPS: An R package for modelling new families of distributions Mahdi Teimouri 
2018
