Package: healthcareai
Type: Package
Title: Tools for Healthcare Machine Learning
Version: 1.2.0
Date: 2017-10-25
Authors@R: c(
    person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = "aut"),
    person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = c("aut", "cre")),
    person("Mike", "Mastanduno", email = "michael.mastanduno@healthcatalyst.com", role = "aut"),
    person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"),
    person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"))
Description: 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, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.2.3)
Imports: caret, data.table, DBI, doParallel, dplyr, e1071, grpreg,
        lme4, odbc, pROC, R6, ranger, ROCR, RSQLite, xgboost
RoxygenNote: 6.0.1
Suggests: testthat
URL: http://healthcareai-r.readthedocs.io
BugReports: https://github.com/HealthCatalyst/healthcareai-r/issues
NeedsCompilation: no
Packaged: 2017-10-25 22:31:59 UTC; michael.levy
Author: Levi Thatcher [aut],
  Michael Levy [aut, cre],
  Mike Mastanduno [aut],
  Taylor Larsen [aut],
  Taylor Miller [aut]
Maintainer: Michael Levy <michael.levy@healthcatalyst.com>
Repository: CRAN
Date/Publication: 2017-10-27 07:58:15 UTC
