Package: bibs 1.1.1

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.

Authors:Mahdi Teimouri

bibs_1.1.1.tar.gz
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bibs_1.1.1.tgz(r-4.6-any)bibs_1.1.1.tgz(r-4.5-any)
bibs_1.1.1.tar.gz(r-4.6-any)bibs_1.1.1.tar.gz(r-4.5-any)
bibs_1.1.1.tgz(r-4.5-emscripten)
bibs.pdf |bibs.html
bibs/json (API)

# Install 'bibs' in R:
install.packages('bibs', repos = c('https://mahditeimouri.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 165 downloads 7 exports 1 dependencies

Last updated from:edfdfc03d9. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE84
source / vignettesOK156
linux-release-x86_64NOTE99
macos-release-arm64NOTE68
macos-oldrel-arm64NOTE70
windows-develNOTE60
windows-releaseNOTE72
windows-oldrelNOTE67
wasm-releaseOK93

Exports:conjugatebsJeffreysbsmlebsrbsreferencebstypeIIbswelcome

Dependencies:GIGrvg