Description Details Author(s) References See Also Examples
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.
Package: | ssmn |
Type: | Package |
Version: | 1.0 |
Date: | 2016-08-08 |
License: | GPL (>=2) |
Clecio da Silva Ferreira clecio.ferreira@ufjf.edu.br and Luis Benites Sanchez <lbenitesanchez@gmail.com>
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.
1 | #See examples linked above.
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