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bssn  

Birnbaum-Saunders Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bssn", "1.0")



Attach the package and use:
library("bssn")
Maintained by
Rocio Paola Maehara
[Scholar Profile | Author Map]
First Published: 2015-08-11
Latest Update: 2020-02-13
Description:
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.
How to cite:
Rocio Paola Maehara (2015). bssn: Birnbaum-Saunders Model. R package version 1.0, https://cran.r-project.org/web/packages/bssn. Accessed 05 May. 2025.
Previous versions and publish date:
0.5 (2015-08-11 08:22), 0.6 (2015-09-08 13:13), 0.7 (2016-03-17 23:19)
Other packages that cited bssn R package
View bssn citation profile
Other R packages that bssn depends, imports, suggests or enhances
Complete documentation for bssn
Functions, R codes and Examples using the bssn R package
Some associated functions: EMbssn . FMshnReg . bssn-package . bssn . enzyme . momentsbssn . ozone . reliabilitybssn . 
Some associated R codes: EMbssn.R . FMshnReg.R . algEM.mix.log.bs.R . algEMbssn.R . functions.mix.logbs.R . functionsbs.R . functionsbssn.R .  Full bssn package functions and examples
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