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.

Package details

AuthorMahdi Teimouri
MaintainerMahdi Teimouri <[email protected]>
LicenseGPL (>= 2)
Version2.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MPS")

Try the MPS package in your browser

Any scripts or data that you put into this service are public.

MPS documentation built on Oct. 19, 2018, 5:05 p.m.