Package: healthcareai
Type: Package
Title: Tools for Healthcare Machine Learning
Version: 2.5.1
Date: 2022-09-01
Authors@R: c(
    person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = "aut"),
    person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = "aut"),
    person("Mike", "Mastanduno", email = "michael.mastanduno@healthcatalyst.com", role = c("aut", "cre")),
    person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"),
    person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"),
    person("Rex", "Sumsion", email = "rex.sumsion@healthcatalyst.com", role = "aut"))
Description: Aims to make machine learning in healthcare as easy as possible. 
  You can develop customized, reliable, high-performance machine learning models with minimal code. 
  Models are created with automatic preprocessing, hyperparameter tuning, and
  algorithm selection (between 
  'xgboost' Chen, T. & Guestrin, C. (2016) <arXiv:1603.02754>,
  'ranger' Wright, M. N., & Ziegler, A. (2017) <doi:10.18637/jss.v077.i01>,
  and 'glm' Friedman J, Hastie T, Tibshirani R. (2010) <doi:10.18637/jss.v033.i01>) 
  so that they can be easily
  put into production. Additionally, there are tools to help understand how a model makes its 
  predictions, select prediction threshholds for operational use, and evaluate model performance over time.
  Code uses 'tidyverse' syntax and most methods have an associated visualization.
License: MIT + file LICENSE
LazyData: TRUE
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
RoxygenNote: 7.2.1
Suggests: covr, DBI, dbplyr, lintr, odbc, testthat
URL: https://docs.healthcare.ai/
BugReports: https://github.com/HealthCatalyst/healthcareai-r/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-01 15:48:34 UTC; michael.mastanduno
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@healthcatalyst.com>
Repository: CRAN
Date/Publication: 2022-09-05 14:50:02 UTC
