chickn: 'Compressive' Hierarchical Kernel Clustering Toolbox

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.

Version: 1.2.3
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
Published: 2020-11-24
Author: Olga Permiakova [aut, cre], Romain Guibert [aut], Thomas Burger [aut]
Maintainer: Olga Permiakova <olga.permiakova at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: chickn results

Downloads:

Reference manual: chickn.pdf
Package source: chickn_1.2.3.tar.gz
Windows binaries: r-devel: chickn_1.2.3.zip, r-devel-UCRT: chickn_1.2.3.zip, r-release: chickn_1.2.3.zip, r-oldrel: chickn_1.2.3.zip
macOS binaries: r-release (arm64): chickn_1.2.3.tgz, r-release (x86_64): chickn_1.2.3.tgz, r-oldrel: chickn_1.2.3.tgz
Old sources: chickn archive

Reverse dependencies:

Reverse imports: SSDL

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