1 % Generated by roxygen2: do not edit by hand
2 % Please edit documentation in R/valse.R
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)
12 \item{X}{matrix of covariates (of size n*p)}
14 \item{Y}{matrix of responses (of size n*m)}
16 \item{procedure}{among 'LassoMLE' or 'LassoRank'}
18 \item{selecMod}{method to select a model among 'SlopeHeuristic', 'BIC', 'AIC'}
20 \item{gamma}{integer for the power in the penaly, by default = 1}
22 \item{mini}{integer, minimum number of iterations in the EM algorithm, by default = 10}
24 \item{maxi}{integer, maximum number of iterations in the EM algorithm, by default = 100}
26 \item{eps}{real, threshold to say the EM algorithm converges, by default = 1e-4}
28 \item{kmin}{integer, minimum number of clusters, by default = 2}
30 \item{kmax}{integer, maximum number of clusters, by default = 10}
32 \item{rang.min}{integer, minimum rank in the low rank procedure, by default = 1}
34 \item{rang.max}{integer, maximum rank in the}
37 a list with estimators of parameters