\name{valse-package} \alias{valse-package} \alias{valse} \docType{package} \title{ \packageTitle{valse} } \description{ \packageDescription{valse} } \details{ Two methods are implemented to cluster data with finite mixture regression models. Those procedures deal with high-dimensional covariates and responses through a variable selection procedure based on the Lasso estimator. The main function is runValse(), which calls all other functions. See also plot_valse() which plots the relevant parameters after a run. } \author{ \packageAuthor{valse} Maintainer: \packageMaintainer{valse} } %\references{ % TODO: Literature or other references for background information %} %\examples{ % TODO: simple examples of the most important functions %}