update the model selection step. Beginning for the plots
[valse.git] / pkg / man / valse.Rd
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{
7 valse(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{
37 a list with estimators of parameters
38 }
39 \description{
40 Main function
41 }
42