healthcareai (1.2.4)

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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.

Maintainer: Michael Levy
Author(s): Levi Thatcher [aut], Michael Levy [aut, cre], Mike Mastanduno [aut], Taylor Larsen [aut], Taylor Miller [aut]

License: MIT + file LICENSE

Uses: caret, data.table, DBI, doParallel, dplyr, e1071, ggplot2, grpreg, lme4, odbc, pROC, R6, ranger, ROCR, RSQLite, xgboost, testthat

Released about 1 month ago.

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