healthcareai: Tools for Healthcare Machine Learning

A machine learning toolbox tailored to healthcare data.

Version: 2.5.0
Depends: R (≥ 3.6), methods
Imports: caret (≥ 6.0.81), cowplot, data.table, dplyr (≥ 1.0.0), e1071, generics, ggplot2, glmnet, lubridate, MLmetrics, purrr, ranger (≥ 0.8.0), recipes (≥ 0.1.3.9002), rlang, ROCR, stringr, tibble (≥ 3.0.0), tidyr, xgboost
Suggests: covr, DBI, dbplyr, lintr, odbc, testthat
Published: 2020-08-05
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

Documentation:

Reference manual: healthcareai.pdf

Downloads:

Package source: healthcareai_2.5.0.tar.gz
Windows binaries: r-devel: healthcareai_2.5.0.zip, r-release: healthcareai_2.5.0.zip, r-oldrel: healthcareai_2.5.0.zip
macOS binaries: r-release (arm64): healthcareai_2.5.0.tgz, r-oldrel (arm64): healthcareai_2.5.0.tgz, r-release (x86_64): healthcareai_2.5.0.tgz, r-oldrel (x86_64): healthcareai_2.5.0.tgz
Old sources: healthcareai archive

Linking:

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