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[valse.git] / pkg / man / valse-package.Rd
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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%}