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bibs  

Bayesian Inference for the Birnbaum-Saunders Distribution
View on CRAN: Click here


Download and install bibs package within the R console
Install from CRAN:
install.packages("bibs")

Install from Github:
library("remotes")
install_github("cran/bibs")

Install by package version:
library("remotes")
install_version("bibs", "1.1.1")



Attach the package and use:
library("bibs")
Maintained by
Mahdi Teimouri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-27
Latest Update: 2022-01-27
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.
How to cite:
Mahdi Teimouri (2022). bibs: Bayesian Inference for the Birnbaum-Saunders Distribution. R package version 1.1.1, https://cran.r-project.org/web/packages/bibs. Accessed 21 Nov. 2024.
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Complete documentation for bibs
Functions, R codes and Examples using the bibs R package
Some associated functions: Jeffreysbs . bone . conjugatebs . fatigue . mlebs . plasma . rbs . referencebs . typeIIbs . welcome . 
Some associated R codes: bibs.R . logo.R .  Full bibs package functions and examples
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