mixvarselect: Mixture of expert modelling with variable selection using penalization

The package uses Ridge, Lasso and SCAD penlization to implement variable selection and regularization in various parameters of mixutres of Gaussians. The package offers variable selection for the mean compoenents and logit of mixture proportions. The package requires installation of GSL libraries on the machine and may not work under Windows platform.

AuthorVahid Partovi Nia and Abbas Khalili
Date of publication2015-06-06 23:19:47
MaintainerVahid Partovi Nia <vahid.partovinia@polymtl.ca>
LicenseGPL (>= 2)
Version1.1

View on R-Forge

Files

DESCRIPTION
NAMESPACE
R
R/moe.R R/zzz.R
data
data/moesim.rda
man
man/moeridge.Rd man/moesim.Rd
src
src/rmoe-adapted.c

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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

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