eclust (0.1.0)

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Environment Based Clustering for Interpretable Predictive Models in 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) . This package includes an algorithm for clustering high dimensional data that can be affected by an environmental factor.

Maintainer: Sahir Bhatnagar
Author(s): Sahir Rai Bhatnagar [aut, cre] (

License: MIT + file LICENSE

Uses: caret, data.table, dynamicTreeCut, magrittr, pacman, pander, stringr, WGCNA, cluster, earth, glmnet, ncvreg, pROC, pheatmap, protoclust, knitr, circlize, rmarkdown, viridis, factoextra

Released about 3 years ago.



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