Companion package to the paper: An analytic approach for interpretable predictive models in high dimensional data, in the presence of interactions with exposures. Bhatnagar, Yang, Khundrakpam, Evans, Blanchette, Bouchard, Greenwood (2017) <doi:10.1101/102475>. This package includes an algorithm for clustering high dimensional data that can be affected by an environmental factor.
Version: | 0.1.0 |
Depends: | R (≥ 3.3.1) |
Imports: | caret, data.table, dynamicTreeCut, magrittr, pacman, WGCNA, stringr, pander, stats |
Suggests: | cluster, earth, ncvreg, knitr, rmarkdown, protoclust, factoextra, ComplexHeatmap, circlize, pheatmap, viridis, pROC, glmnet |
Published: | 2017-01-26 |
Author: | Sahir Rai Bhatnagar [aut, cre] (http://sahirbhatnagar.com/) |
Maintainer: | Sahir Rai Bhatnagar <sahir.bhatnagar at gmail.com> |
BugReports: | https://github.com/sahirbhatnagar/eclust/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/sahirbhatnagar/eclust/, http://sahirbhatnagar.com/eclust/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | eclust results |
Reference manual: | eclust.pdf |
Vignettes: |
Introduction to eclust |
Package source: | eclust_0.1.0.tar.gz |
Windows binaries: | r-devel: eclust_0.1.0.zip, r-release: eclust_0.1.0.zip, r-oldrel: eclust_0.1.0.zip |
macOS binaries: | r-release: eclust_0.1.0.tgz, r-oldrel: not available |
Please use the canonical form https://CRAN.R-project.org/package=eclust to link to this page.