1 % Generated by roxygen2: do not edit by hand
2 % Please edit documentation in R/gridLambda.R
5 \title{Construct the data-driven grid for the regularization parameters used for the Lasso estimator}
7 gridLambda(phiInit, rhoInit, piInit, gamInit, X, Y, gamma, mini, maxi, tau)
10 \item{phiInit}{value for phi}
12 \item{rhoInit}{value for rho}
14 \item{piInit}{value for pi}
16 \item{gamInit}{value for gamma}
18 \item{X}{matrix of covariates (of size n*p)}
20 \item{Y}{matrix of responses (of size n*m)}
22 \item{gamma}{power of weights in the penalty}
24 \item{mini}{minimum number of iterations in EM algorithm}
26 \item{maxi}{maximum number of iterations in EM algorithm}
28 \item{tau}{threshold to stop EM algorithm}
31 the grid of regularization parameters
34 Construct the data-driven grid for the regularization parameters used for the Lasso estimator