bssn: 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.

Version: 1.0
Imports: sn, ssmn, mvtnorm, ClusterR
Published: 2020-02-13
Author: Luis Benites Sanchez[cre, aut], Rocio Paola Maehara[cre, aut] and Paulo Jos<c3><a9> Alejandro Aybar Flores[ctb]
Maintainer: Rocio Paola Maehara <rp.maeharaa at up.edu.pe>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bssn results

Downloads:

Reference manual: bssn.pdf
Package source: bssn_1.0.tar.gz
Windows binaries: r-devel: bssn_1.0.zip, r-devel-gcc8: bssn_1.0.zip, r-release: bssn_1.0.zip, r-oldrel: bssn_1.0.zip
OS X binaries: r-release: bssn_1.0.tgz, r-oldrel: bssn_1.0.tgz
Old sources: bssn archive

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