ssmn-package: Skew Scale Mixtures of Normal Distributions

In ssmn: Skew Scale Mixtures of Normal Distributions

Description

It provides the density, distribution function, quantile function, random number generator, likelihood function, direct and EM algorithm for Maximum Likelihood estimators for a given sample, all this for regression models using Skew Scale Mixtures of Normal Distributions.

Details

Package:	ssmn
Type:	Package
Version:	1.0
Date:	2016-08-08
License:	GPL (>=2)

Author(s)

Clecio da Silva Ferreira [e-mail] and Luis Benites Sanchez <[e-mail]>

References

C.S. Ferreira; H. Bolfarine; V. H. Lachos (2011). Skew scale mixture of normal distributions: properties and estimation. Statistical Methodology, 8(2), 154-171.

C. S. Ferreira, V. H. Lachos, H. Bolfarine (2015). Inference and diagnostics in skew scale mixtures of normal regression models. Journal of Statistical Computation and Simulation, 85, 517-537.

See Also

ssmn

Examples

#See examples linked above.

ssmn documentation built on May 2, 2019, 5:55 a.m.