Package: MixAll
Version: 1.2.0
Date: 2016-08-01
Title: Clustering using Mixture Models
Authors@R: c(person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org"))
Copyright: inria, University Lille 1
Depends: R (>= 3.0.2), rtkore (>= 1.1.0)
Imports: methods
Description: Algorithms and methods for estimating parametric mixture models for
    mixed data and with missing data.
License: GPL (>= 2)
LinkingTo: Rcpp
SystemRequirements: GNU make
Collate: 'ClusterAlgo.R' 'ClusterInit.R' 'ClusterStrategy.R'
        'IClusterModel.R' 'ClusterModelNames.R' 'global.R'
        'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
        'ClusterKernel.R' 'ClusterMixedData.R' 'ClusterPlot.R'
        'ClusterPoisson.R' 'LearnAlgo.R' 'Learners.R' 'MixAll.R'
        'missingValues.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-08-02 15:50:37 UTC; iovleff
Author: Serge Iovleff [aut, cre]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>
Repository: CRAN
Date/Publication: 2016-08-03 01:53:06
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 02:50:18 UTC; windows
Archs: i386, x64
