Birnbaum-Saunders Model

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.


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install.packages("bssn")

1.0 by Rocio Paola Maehara, 14 days ago


Browse source code at https://github.com/cran/bssn


Authors: Luis Benites Sanchez[cre, aut] <[email protected]> , Rocio Paola Maehara[cre, aut] <[email protected]> and Paulo Jos<c3><a9> Alejandro Aybar Flores[ctb] <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports sn, ssmn, mvtnorm, ClusterR


See at CRAN