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

[valse.git] / man / basic_Init_Parameters.Rd

diff --git a/man/basic_Init_Parameters.Rd b/man/basic_Init_Parameters.Rd
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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/basicInitParameters.R
+\name{basic_Init_Parameters}
+\alias{basic_Init_Parameters}
+\title{Initialize the parameters in a basic way (zero for the conditional mean,
+ uniform for weights, identity for covariance matrices, and uniformly distributed forthe clustering)}
+\usage{
+basic_Init_Parameters(n, p, m, k)
+}
+\arguments{
+\item{n}{sample size}
+
+\item{p}{number of covariates}
+
+\item{m}{size of the response}
+
+\item{k}{number of clusters}
+}
+\value{
+list with phiInit, rhoInit,piInit,gamInit
+}
+\description{
+Initialize the parameters in a basic way (zero for the conditional mean,
+ uniform for weights, identity for covariance matrices, and uniformly distributed forthe clustering)
+}
+