healthcareai: Tools for Healthcare Machine Learning

A machine learning toolbox tailored to healthcare data.

Version: 2.1.0
Depends: R (≥ 3.3), methods
Imports: broom, caret (≥ 6.0.78), cowplot, data.table, dbplyr, dplyr, e1071, ggplot2, glmnet, lubridate, MLmetrics, purrr, ranger (≥ 0.8.0), recipes (≥ 0.1.3), rlang, stringr, tibble, tidyr, xgboost
Suggests: DBI, odbc, testthat, lintr, covr
Published: 2018-07-01
Author: Levi Thatcher [aut], Michael Levy [aut, cre], Mike Mastanduno [aut], Taylor Larsen [aut], Taylor Miller [aut]
Maintainer: Michael Levy <michael.levy 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_2.1.0.tar.gz
Windows binaries: r-devel: healthcareai_2.1.0.zip, r-release: healthcareai_2.1.0.zip, r-oldrel: healthcareai_2.1.0.zip
OS X binaries: r-release: healthcareai_2.1.0.tgz, r-oldrel: healthcareai_2.1.0.tgz
Old sources: healthcareai archive

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