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.


Reference manual

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0.1.0 by Sahir Rai Bhatnagar, 10 months ago

https://github.com/sahirbhatnagar/eclust/, http://sahirbhatnagar.com/eclust/

Report a bug at https://github.com/sahirbhatnagar/eclust/issues

Browse source code at https://github.com/cran/eclust

Authors: Sahir Rai Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)

Documentation:   PDF Manual  

MIT + file LICENSE license

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

See at CRAN