utilisation de k-means au lieu de hierarchique dans initSmallEM - PB de dimensions...

[valse.git] / man / gridLambda.Rd

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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gridLambda.R
+\name{gridLambda}
+\alias{gridLambda}
+\title{Construct the data-driven grid for the regularization parameters used for the Lasso estimator}
+\usage{
+gridLambda(phiInit, rhoInit, piInit, gamInit, X, Y, gamma, mini, maxi, tau)
+}
+\arguments{
+\item{phiInit}{value for phi}
+
+\item{piInit}{value for pi}
+
+\item{gamInit}{value for gamma}
+
+\item{mini}{minimum number of iterations in EM algorithm}
+
+\item{maxi}{maximum number of iterations in EM algorithm}
+
+\item{tau}{threshold to stop EM algorithm}
+
+\item{rhoInt}{value for rho}
+}
+\value{
+the grid of regularization parameters
+}
+\description{
+Construct the data-driven grid for the regularization parameters used for the Lasso estimator
+}
+