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, and Linear Mixed Model.

Documentation

Manual: healthcareai.pdf
Vignette: None available.

Maintainer: Levi Thatcher <levi.thatcher at healthcatalyst.com>

Author(s): Levi Thatcher*, Mike Mastanduno*, Taylor Miller*, Taylor Larsen*

Install package and any missing dependencies by running this line in your R console:

install.packages("healthcareai")

Depends R (>= 3.2.3)
Imports caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc, pROC, R6, ranger, ROCR, RODBC, RSQLite
Suggests testthat
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Package healthcareai
Materials
URL http://healthcareai-r.readthedocs.io
Task Views
Version 0.1.12
Published 2017-05-05
License MIT + file LICENSE
BugReports https://github.com/HealthCatalystSLC/healthcareai-r/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks healthcareai check results
Package source healthcareai_0.1.12.tar.gz