Package: chickn
Type: Package
Title: 'Compressive' Hierarchical Kernel Clustering Toolbox
Version: 1.2.3
Date: 2020-11-08
Authors@R: c(person("Olga","Permiakova", role = c("aut", "cre"), email = "olga.permiakova@gmail.com"),
    person("Romain", "Guibert", role = "aut", email = "romain.guibert@icloud.com"),
    person("Thomas","Burger",role = "aut",email = "thomas.burger@cea.fr"))
Maintainer: Olga Permiakova <olga.permiakova@gmail.com>
Description: Routines for efficient cluster analysis of large scale data. This package implements the 'CHICKN' 
      clustering algorithm (see 'Permiakova' 'et' 'al.' (2020) "'CHICKN': Extraction of 'peptide' 'chromatographic' 
      'elution' profiles from large scale mass 'spectrometry' data by means of 'Wasserstein' 'compressive' hierarchical 
      cluster analysis"). Functions for data compression, hierarchical clustering and post processing are provided. 
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: Rcpp, bigstatsr (>= 1.2.3), RcppParallel, mvnfast, zipfR,
        MASS, pracma, nloptr, foreach, doRNG, parallel, doParallel,
        Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, bigstatsr (>= 1.2.3),
        rmio
SystemRequirements: C++11
RoxygenNote: 7.1.1
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2020-11-24 12:54:26 UTC; satrix
Author: Olga Permiakova [aut, cre],
  Romain Guibert [aut],
  Thomas Burger [aut]
Repository: CRAN
Date/Publication: 2020-11-24 14:00:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 14:48:18 UTC; windows
Archs: i386, x64
