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bssn

Birnbaum-Saunders Model

Installation

About

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. Also, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution. Additionally, we incorporate the EM algorithm based on the assumption that the error term follows a finite mixture of Sinh-normal distributions.

Key Metrics

Version 1.0
Published 2020-02-13 1542 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Rocio Paola Maehara

rp.maeharaa@up.edu.pe

Authors

Luis Benites
Sanchez[cre

aut

Rocio Paola
Maehara[cre

aut

Paulo Jos<c3><a9> Alejandro Aybar
Flores[ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bssn archive

Imports

sn
ssmn
mvtnorm
ClusterR