FMsmsnReg-package: Linear Regression Models with Finite Mixtures of Skew...

Description Details Author(s) References See Also Examples


This package contains a principal function that performs to estimate the parameters of a regression model considering an error that follows a finite mixture of Skew Heavy-Tailed Errors, using an analytically simple and efficient EM-type algorithm for iteratively computing maximum likelihood estimates of the parameters.


Package: FMsmsnsReg
Type: Package
Version: 1.0
Date: 2016-03-30
License: GPL (>=2)


Luis Benites Sanchez [email protected], Rocio Paola Maehara [email protected] and Victor Hugo Lachos [email protected]


Basso, R. M., Lachos, V. H., Cabral, C. R., Ghosh, P., 2010. Robust mixture modeling based on scale mixtures of skew - normal distributions. Computational Statistics & Data Analysis.

Lachos, V. H., Ghosh, P., Arellano-Valle, R. B., 2010. Likelihood based inference for skew-normal independent linear mixed models. Statistica Sinica 20, 303 - 322.

See Also



#See examples for the FMsmsnReg function linked above.

FMsmsnReg documentation built on May 30, 2017, 12:09 a.m.