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

% 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
}
Commit	Line	Data
c7dab9ff	1	% Generated by roxygen2: do not edit by hand
	2	% Please edit documentation in R/gridLambda.R
	3	\name{gridLambda}
	4	\alias{gridLambda}
	5	\title{Construct the data-driven grid for the regularization parameters used for the Lasso estimator}
	6	\usage{
	7	gridLambda(phiInit, rhoInit, piInit, gamInit, X, Y, gamma, mini, maxi, tau)
	8	}
	9	\arguments{
	10	\item{phiInit}{value for phi}
	11
	12	\item{rhoInit}{value for rho}
	13
	14	\item{piInit}{value for pi}
	15
	16	\item{gamInit}{value for gamma}
	17
	18	\item{X}{matrix of covariates (of size n*p)}
	19
	20	\item{Y}{matrix of responses (of size n*m)}
	21
	22	\item{gamma}{power of weights in the penalty}
	23
	24	\item{mini}{minimum number of iterations in EM algorithm}
	25
	26	\item{maxi}{maximum number of iterations in EM algorithm}
	27
	28	\item{tau}{threshold to stop EM algorithm}
	29	}
	30	\value{
	31	the grid of regularization parameters
	32	}
	33	\description{
	34	Construct the data-driven grid for the regularization parameters used for the Lasso estimator
	35	}
	36