update the model selection step. Beginning for the plots

[valse.git] / pkg / man / valse.Rd

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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/valse.R
+\name{valse}
+\alias{valse}
+\title{Main function}
+\usage{
+valse(X, Y, procedure = "LassoMLE", selecMod = "BIC", gamma = 1,
+  mini = 10, maxi = 100, eps = 1e-04, kmin = 2, kmax = 5,
+  rang.min = 1, rang.max = 10)
+}
+\arguments{
+\item{X}{matrix of covariates (of size n*p)}
+
+\item{Y}{matrix of responses (of size n*m)}
+
+\item{procedure}{among 'LassoMLE' or 'LassoRank'}
+
+\item{selecMod}{method to select a model among 'SlopeHeuristic', 'BIC', 'AIC'}
+
+\item{gamma}{integer for the power in the penaly, by default = 1}
+
+\item{mini}{integer, minimum number of iterations in the EM algorithm, by default = 10}
+
+\item{maxi}{integer, maximum number of iterations in the EM algorithm, by default = 100}
+
+\item{eps}{real, threshold to say the EM algorithm converges, by default = 1e-4}
+
+\item{kmin}{integer, minimum number of clusters, by default = 2}
+
+\item{kmax}{integer, maximum number of clusters, by default = 10}
+
+\item{rang.min}{integer, minimum rank in the low rank procedure, by default = 1}
+
+\item{rang.max}{integer, maximum rank in the}
+}
+\value{
+a list with estimators of parameters
+}
+\description{
+Main function
+}
+