Package: HDclust
Type: Package
Title: Clustering High Dimensional Data with Hidden Markov Model on
        Variable Blocks
Version: 1.0.3
Date: 2019-04-05
Authors@R: c(
    person("Yevhen", "Tupikov", email = "yzt116@psu.edu", role = c("aut")),
    person("Lin", "Lin", email = "llin@psu.edu", role = "aut"),
    person("Lixiang", "Zhang", email = "lzz46@psu.edu", role = "aut"),
    person("Jia", "Li", email = "jiali@psu.edu", role = c("aut", "cre")))
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), Rtsne (>= 0.11.0)
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' 'hmmvbFindModes.R'
        'clustModes.R'
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2019-04-11 18:32:02 UTC; zhanglixiang
Author: Yevhen Tupikov [aut],
  Lin Lin [aut],
  Lixiang Zhang [aut],
  Jia Li [aut, cre]
Maintainer: Jia Li <jiali@psu.edu>
Repository: CRAN
Date/Publication: 2019-04-11 21:57:32 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-04-12 01:41:39 UTC; unix
Archs: HDclust.so.dSYM
