ssmn (version 1.1)

ssmn-package: 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)

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.