Package: HDclust
Type: Package
Title: Clustering High Dimensional Data with Hidden Markov Model on
        Variable Blocks
Version: 1.0
Date: 2018-07-19
Authors@R: c(
    person("Yevhen", "Tupikov", email = "yzt116@psu.edu", role = c("aut", "cre")),
    person("Lin", "Lin", email = "llin@psu.edu", role = "aut"),
    person("Jia", "Li", email = "jiali@psu.edu", role = "aut"))
Description: Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <http://jmlr.org/papers/v18/16-342.html>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.16), RcppProgress (>= 0.1)
Depends: methods
LinkingTo: Rcpp, RcppProgress
Collate: 'AllClass.R' 'AllGeneric.R' 'AllMethod.R' 'clustControl.R'
        'trainControl.R' 'hmmvbClust.R' 'hmmvbTrain.R'
        'vbSearchControl.R' 'package-HDclust.R' 'RcppExports.R'
        'sim3.R' 'sim2.R' 'hmmvbBIC.R'
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-07-23 20:35:01 UTC; eugene
Author: Yevhen Tupikov [aut, cre],
  Lin Lin [aut],
  Jia Li [aut]
Maintainer: Yevhen Tupikov <yzt116@psu.edu>
Repository: CRAN
Date/Publication: 2018-07-29 22:00:07 UTC
