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 healthcatalyst.com>
BugReports: https://github.com/HealthCatalyst/healthcareai-r/issues
License: MIT + file LICENSE
URL: http://healthcareai-r.readthedocs.io
NeedsCompilation: no
Materials: README
CRAN checks: healthcareai results

Downloads:

Reference manual: healthcareai.pdf
Package source: healthcareai_1.2.4.tar.gz
Windows binaries: r-prerel: healthcareai_1.2.4.zip, r-release: healthcareai_1.2.4.zip, r-oldrel: healthcareai_1.2.4.zip
OS X binaries: r-prerel: healthcareai_1.2.4.tgz, r-release: healthcareai_1.2.4.tgz
Old sources: healthcareai archive

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