update the model selection step. Beginning for the plots
[valse.git] / pkg / man / valse.Rd
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3f62d540 1% Generated by roxygen2: do not edit by hand
2% Please edit documentation in R/valse.R
3\name{valse}
4\alias{valse}
5\title{Main function}
6\usage{
7valse(X, Y, procedure = "LassoMLE", selecMod = "BIC", gamma = 1,
8 mini = 10, maxi = 100, eps = 1e-04, kmin = 2, kmax = 5,
9 rang.min = 1, rang.max = 10)
10}
11\arguments{
12\item{X}{matrix of covariates (of size n*p)}
13
14\item{Y}{matrix of responses (of size n*m)}
15
16\item{procedure}{among 'LassoMLE' or 'LassoRank'}
17
18\item{selecMod}{method to select a model among 'SlopeHeuristic', 'BIC', 'AIC'}
19
20\item{gamma}{integer for the power in the penaly, by default = 1}
21
22\item{mini}{integer, minimum number of iterations in the EM algorithm, by default = 10}
23
24\item{maxi}{integer, maximum number of iterations in the EM algorithm, by default = 100}
25
26\item{eps}{real, threshold to say the EM algorithm converges, by default = 1e-4}
27
28\item{kmin}{integer, minimum number of clusters, by default = 2}
29
30\item{kmax}{integer, maximum number of clusters, by default = 10}
31
32\item{rang.min}{integer, minimum rank in the low rank procedure, by default = 1}
33
34\item{rang.max}{integer, maximum rank in the}
35}
36\value{
37a list with estimators of parameters
38}
39\description{
40Main function
41}
42