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.
Version: | 0.1.12 |
Depends: | R (≥ 3.2.3) |
Imports: | caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc, pROC, R6, ranger, ROCR, RODBC, RSQLite |
Suggests: | testthat |
Published: | 2017-05-05 |
Author: | Levi Thatcher [aut, cre], Mike Mastanduno [aut], Taylor Miller [aut], Taylor Larsen [aut] |
Maintainer: | Levi Thatcher <levi.thatcher at healthcatalyst.com> |
BugReports: | https://github.com/HealthCatalystSLC/healthcareai-r/issues |
License: | MIT + file LICENSE |
URL: | http://healthcareai-r.readthedocs.io |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | healthcareai results |
Reference manual: | healthcareai.pdf |
Package source: | healthcareai_0.1.12.tar.gz |
Windows binaries: | r-devel: healthcareai_0.1.12.zip, r-release: healthcareai_0.1.12.zip, r-oldrel: healthcareai_0.1.12.zip |
OS X El Capitan binaries: | r-release: healthcareai_0.1.12.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | healthcareai archive |
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