X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2Fman%2FgridLambda.Rd;fp=pkg%2Fman%2FgridLambda.Rd;h=cc203a7fa06bf169a87e6540fb4e3d085fa43572;hp=0000000000000000000000000000000000000000;hb=f87ff0f5116c0c1c59c5608e46563ff0f79e5d43;hpb=53fa233d8fbeaf4d51a4874ba69d8472d01d04ba

diff --git a/pkg/man/gridLambda.Rd b/pkg/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{rhoInit}{value for rho}
+
+\item{piInit}{value for pi}
+
+\item{gamInit}{value for gamma}
+
+\item{X}{matrix of covariates (of size n*p)}
+
+\item{Y}{matrix of responses (of size n*m)}
+
+\item{gamma}{power of weights in the penalty}
+
+\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}
+}
+\value{
+the grid of regularization parameters
+}
+\description{
+Construct the data-driven grid for the regularization parameters used for the Lasso estimator
+}
+