utilisation de k-means au lieu de hierarchique dans initSmallEM - PB de dimensions...
[valse.git] / man / basic_Init_Parameters.Rd
1 % Generated by roxygen2: do not edit by hand
2 % Please edit documentation in R/basicInitParameters.R
3 \name{basic_Init_Parameters}
4 \alias{basic_Init_Parameters}
5 \title{Initialize the parameters in a basic way (zero for the conditional mean,
6 uniform for weights, identity for covariance matrices, and uniformly distributed forthe clustering)}
7 \usage{
8 basic_Init_Parameters(n, p, m, k)
9 }
10 \arguments{
11 \item{n}{sample size}
12
13 \item{p}{number of covariates}
14
15 \item{m}{size of the response}
16
17 \item{k}{number of clusters}
18 }
19 \value{
20 list with phiInit, rhoInit,piInit,gamInit
21 }
22 \description{
23 Initialize the parameters in a basic way (zero for the conditional mean,
24 uniform for weights, identity for covariance matrices, and uniformly distributed forthe clustering)
25 }
26