SDisc: Integrated methodology for the identification of homogeneous
profiles in data distribution
Integrated set of tools and methods to identify
homogeneous profiles/subtypes in data distribution by cluster
analysis. It includes methods for data treatment and
pre-processing, repeated cluster analysis, model selection,
model reliability and reproducibility assessment, profiles
characterization and validation by visual and table summaries.
It applies particularly to the search for more homogeneous
profiles in cohort studies.
| Version: |
1.17 |
| Depends: |
R (≥ 2.5.1), mclust, stats, utils, RColorBrewer, abind, xtable, digest, e1071, snow |
| Published: |
2009-11-05 |
| Author: |
Fabrice Colas |
| Maintainer: |
Fabrice Colas <fcolas at liacs.nl> |
| License: |
BSD |
| URL: |
https://gforge.nbic.nl/projects/subtypediscover/,
http://www.grano-salis.net/ |
| CRAN checks: |
SDisc results |
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