healthcareai: Tools for Healthcare Machine Learning

A machine learning toolbox tailored to healthcare data.

Version: 2.3.0
Depends: R (≥ 3.3), methods
Imports: caret (≥ 6.0.81), cowplot, data.table, dbplyr, dplyr (≥ 0.7.6), e1071, forcats, generics, ggplot2, glmnet, lubridate, MLmetrics, purrr, ranger (≥ 0.8.0), recipes (≥ 0.1.3.9002), rlang, ROCR, stringr, tibble, tidyr, xgboost
Suggests: DBI, odbc, testthat, lintr, covr
Published: 2018-12-12
Author: Levi Thatcher [aut], Michael Levy [aut], Mike Mastanduno [aut, cre], Taylor Larsen [aut], Taylor Miller [aut], Rex Sumsion [aut]
Maintainer: Mike Mastanduno <michael.mastanduno at healthcatalyst.com>
BugReports: https://github.com/HealthCatalyst/healthcareai-r/issues
License: MIT + file LICENSE
URL: http://docs.healthcare.ai
NeedsCompilation: no
Materials: README NEWS
CRAN checks: healthcareai results

Downloads:

Reference manual: healthcareai.pdf
Package source: healthcareai_2.3.0.tar.gz
Windows binaries: r-devel: healthcareai_2.2.0.zip, r-release: healthcareai_2.2.0.zip, r-oldrel: healthcareai_2.3.0.zip
OS X binaries: r-release: healthcareai_2.3.0.tgz, r-oldrel: healthcareai_2.3.0.tgz
Old sources: healthcareai archive

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