pkg/man/valse-package.Rd

   1 \name{valse-package}
   2 \alias{valse-package}
   3 \alias{valse}
   4 \docType{package}
   5
   6 \title{
   7     \packageTitle{valse}
   8 }
   9
  10 \description{
  11     \packageDescription{valse}
  12 }
  13
  14 \details{
  15   Two methods are implemented to cluster data with finite mixture
  16   regression models. Those procedures deal with high-dimensional covariates and
  17   responses through a variable selection procedure based on the Lasso estimator.
  18
  19   The main function is runValse(), which calls all other functions.
  20   See also plot_valse() which plots the relevant parameters after a run.
  21 }
  22
  23 \author{
  24     \packageAuthor{valse}
  25
  26     Maintainer: \packageMaintainer{valse}
  27 }
  28
  29 %\references{
  30 %   TODO: Literature or other references for background information
  31 %}
  32
  33 %\examples{
  34 %   TODO: simple examples of the most important functions
  35 %}