bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution

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. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.

Version: 0.7
Imports: sn
Published: 2016-03-17
Author: Rocio Paola Maehara and Luis Benites Sanchez
Maintainer: Rocio Paola Maehara <rmaeharaa at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bssn results

Downloads:

Reference manual: bssn.pdf
Package source: bssn_0.7.tar.gz
Windows binaries: r-devel: bssn_0.7.zip, r-release: bssn_0.7.zip, r-oldrel: bssn_0.7.zip
OS X Mavericks binaries: r-release: bssn_0.7.tgz, r-oldrel: bssn_0.7.tgz
Old sources: bssn archive

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