healthcareai: Tools for Healthcare Machine Learning

A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production 'SQL' environment. Algorithms currently supported are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.

Version: 1.2.4
Depends: R (≥ 3.2.3)
Imports: caret (≥ 6.0.78), data.table, DBI, doParallel, dplyr, e1071, ggplot2, grpreg, lme4, methods, odbc, pROC, R6, ranger (≥ 0.8.0), ROCR, RSQLite, xgboost
Suggests: testthat
Published: 2018-02-14
Author: Levi Thatcher [aut], Michael Levy [aut, cre], Mike Mastanduno [aut], Taylor Larsen [aut], Taylor Miller [aut]
Maintainer: Michael Levy <michael.levy at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: healthcareai results


Reference manual: healthcareai.pdf
Package source: healthcareai_1.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: healthcareai_1.2.4.tgz
OS X Mavericks binaries: r-oldrel: healthcareai_1.2.3.tgz
Old sources: healthcareai archive


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