eclust: Environment Based Clustering for Interpretable Predictive Modelsin High Dimensional Data
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 + fileLICENSE |
| URL: | https://github.com/sahirbhatnagar/eclust/,http://sahirbhatnagar.com/eclust/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | eclust results[issues need fixing before 2025-12-17] |
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