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, XGBoost, Kmeans clustering, and Linear Mixed Model.

Version: 1.0.0
Depends: R (≥ 3.2.3)
Imports: caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc, pROC, R6, ranger, ROCR, RSQLite, xgboost
Suggests: testthat
Published: 2017-09-11
Author: Levi Thatcher [aut, cre], Mike Mastanduno [aut], Michael Levy [aut], Taylor Miller [aut], Taylor Larsen [aut]
Maintainer: Levi Thatcher <levi.thatcher 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_1.0.0.tar.gz
Windows binaries: r-devel: healthcareai_1.0.0.zip, r-release: healthcareai_1.0.0.zip, r-oldrel: healthcareai_1.0.0.zip
OS X El Capitan binaries: r-release: healthcareai_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: healthcareai_1.0.0.tgz
Old sources: healthcareai archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=healthcareai to link to this page.