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 LICENSE 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 form https://CRAN.R-project.org/package=eclust to link to this page.
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