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bssn (version 1.0)

Birnbaum-Saunders Model

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.

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Version

Install

install.packages('bssn')

Monthly Downloads

197

Version

1.0

License

GPL (>= 2)

Maintainer

Last Published

February 13th, 2020

Functions in bssn (1.0)

enzyme

Enzymatic activity in the blood
FMshnReg

Linear regression models using finite mixture of Sinh-normal distribution
bssn-package

Birnbaum-Saunders model
bssn

Birnbaum-Saunders model based on Skew-Normal distribution
EMbssn

EM Algorithm Birnbaum-Saunders model based on Skew-Normal distribution
ozone

Daily ozone level measurements
reliabilitybssn

Reliability Function for the Birnbaum-Saunders model based on Skew-Normal distribution
momentsbssn

Moments for the Birnbaum-Saunders model based on Skew-Normal distribution