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bibs (version 1.1.1)

Bayesian Inference for the Birnbaum-Saunders Distribution

Description

Developed for the following tasks. 1- Simulating and computing the maximum likelihood estimator for the Birnbaum-Saunders (BS) distribution, 2- Computing the Bayesian estimator for the parameters of the BS distribution based on reference prior proposed by Xu and Tang (2010) and conjugate prior. 3- Computing the Bayesian estimator for the BS distribution based on conjugate prior. 4- Computing the Bayesian estimator for the BS distribution based on Jeffrey prior given by Achcar (1993) 5- Computing the Bayesian estimator for the BS distribution under progressive type-II censoring scheme.

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Version

Install

install.packages('bibs')

Monthly Downloads

229

Version

1.1.1

License

GPL (>= 2)

Maintainer

Mahdi Teimouri

Last Published

January 27th, 2022

Functions in bibs (1.1.1)

welcome

Starting message when loading package bibs
Jeffreysbs

Computing the Bayesian estimators of the Birnbaum-Saunders (BS) distribution.
bone

Bone mineral content data
conjugatebs

Computing the Bayesian estimators of the Birnbaum-Saunders (BS) distribution.
mlebs

Computing the maximum likelihood (ML) estimator for the generalized Birnbaum-Saunders (GBS) distribution.
fatigue

Fatigue data
plasma

Plasma survival data
rbs

Simulating from Birnbaum-Saunders (BS) distribution.
referencebs

Computing the Bayesian estimators of the Birnbaum-Saunders (BS) distribution.
typeIIbs

Bayesian estimator for the Birnbaum-Saunders family under progressive type-II censoring scheme.