bibs: Bayesian Inference for the Birnbaum-Saunders Distribution

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) <doi:10.1016/j.csda.2009.08.004> 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) <doi:10.1016/0167-9473(93)90170-X> 5- Computing the Bayesian estimator for the BS distribution under progressive type-II censoring scheme.

Version: 1.1.1
Depends: R (≥ 3.1.0)
Imports: GIGrvg
Published: 2022-01-27
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bibs results

Documentation:

Reference manual: bibs.pdf

Downloads:

Package source: bibs_1.1.1.tar.gz
Windows binaries: r-devel: bibs_1.1.1.zip, r-release: bibs_1.1.1.zip, r-oldrel: bibs_1.1.1.zip
macOS binaries: r-release (arm64): bibs_1.1.1.tgz, r-oldrel (arm64): bibs_1.1.1.tgz, r-release (x86_64): bibs_1.1.1.tgz, r-oldrel (x86_64): bibs_1.1.1.tgz

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