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 |