eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (original) (raw)
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 |
| DOI: | 10.32614/CRAN.package.eclust |
| 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 |
| URL: | https://github.com/sahirbhatnagar/eclust/,http://sahirbhatnagar.com/eclust/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | eclust results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=eclustto link to this page.