bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution
Version 0.7

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.

Package details

AuthorRocio Paola Maehara <rmaeharaa@gmail.com> and Luis Benites Sanchez <lbenitesanchez@gmail.com>
Date of publication2016-03-17 23:19:57
MaintainerRocio Paola Maehara <rmaeharaa@gmail.com>
LicenseGPL (>= 2)
Version0.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bssn")

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bssn documentation built on May 29, 2017, 2:16 p.m.