\name{CluMix-package}
\alias{CluMix-package}
\alias{CluMix}
\docType{package}
\title{
\packageTitle{CluMix}
}
\description{
\packageDescription{CluMix}
}
\details{

The DESCRIPTION file:
\packageDESCRIPTION{The package provides clustering and visualization of mixed-type data}
\packageIndices{CluMix}
The main function \code{\link{mix.heatmap}} of the package generates a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn (\code{\link{distmap}}). Associations between variables can be explored by the \code{\link{confounderPlot}}, which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest.  
Distance matrices and dendrograms for subjects and variables can be derived by functions \code{\link{dist.subjects}}, \code{\link{dist.variables}}, \code{\link{dendro.subjects}}, and \code{\link{dendro.variables}}. 
}

\author{
\packageAuthor{CluMix}

Maintainer: \packageMaintainer{CluMix}
}

\references{
Gower J (1971). A general coefficient of similarity and some of its properties. Biometrics, 27:857-871.

Chavent M, Kuentz-Simonet V, Liquet B, Saracco J (2012). ClustOfVar: An R Package for the Clustering of Variables. Journal of Statistical Software, 50:1-16.
}

\keyword{ package }

\seealso{\code{\link{mix.heatmap}}, \code{\link[ClustOfVar]{ClustOfVar}} }

\examples{
data(mixdata)

mix.heatmap(mixdata, rowmar=7)
}