X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2Fman%2Fvalse.Rd;fp=pkg%2Fman%2Fvalse.Rd;h=0000000000000000000000000000000000000000;hp=48271b1a3e60b782aed2338482d8f59fc8f719a2;hb=6f32817b8258e4ff1bb0bf82fc7dc3d2056df3e3;hpb=f72448157e2ca194959adcffced29448fbb1bb74

diff --git a/pkg/man/valse.Rd b/pkg/man/valse.Rd
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--- a/pkg/man/valse.Rd
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-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/valse.R
-\name{valse}
-\alias{valse}
-\title{Main function}
-\usage{
-valse(X, Y, procedure = "LassoMLE", selecMod = "BIC", gamma = 1,
-  mini = 10, maxi = 100, eps = 1e-04, kmin = 2, kmax = 5,
-  rang.min = 1, rang.max = 10)
-}
-\arguments{
-\item{X}{matrix of covariates (of size n*p)}
-
-\item{Y}{matrix of responses (of size n*m)}
-
-\item{procedure}{among 'LassoMLE' or 'LassoRank'}
-
-\item{selecMod}{method to select a model among 'SlopeHeuristic', 'BIC', 'AIC'}
-
-\item{gamma}{integer for the power in the penaly, by default = 1}
-
-\item{mini}{integer, minimum number of iterations in the EM algorithm, by default = 10}
-
-\item{maxi}{integer, maximum number of iterations in the EM algorithm, by default = 100}
-
-\item{eps}{real, threshold to say the EM algorithm converges, by default = 1e-4}
-
-\item{kmin}{integer, minimum number of clusters, by default = 2}
-
-\item{kmax}{integer, maximum number of clusters, by default = 10}
-
-\item{rang.min}{integer, minimum rank in the low rank procedure, by default = 1}
-
-\item{rang.max}{integer, maximum rank in the}
-}
-\value{
-a list with estimators of parameters
-}
-\description{
-Main function
-}
-