README.md
In lbenitesanchez/bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution
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(@rmaeharaa) and Luis Benites Sanchez(@lbenitesanchez)
Maintainer: Rocio Paola Maehara(@rmaeharaa)
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
lbenitesanchez/bssn documentation built on May 9, 2019, 12:49 p.m.
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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(@rmaeharaa) and Luis Benites Sanchez(@lbenitesanchez)
Maintainer: Rocio Paola Maehara(@rmaeharaa)
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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