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, Rocio Paola Maehara and Victor Hugo Lachos


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 19, 2017, 10:29 p.m.

Search within the FMsmsnReg package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.