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This package was removed from CRAN on 2022-12-05. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 2.5.1, its last release before removal.

healthcareai

2.5.1

Tools for Healthcare Machine Learning

0packages depend
–downloads / year
–test coverage
–flavors OK

Overview

About

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.

Changes in 2.5.1

Fixed

  • Numerous bugs with recipes and other updated packages.

From NEWS.md in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 2.5.1
READMEYes · 421 wordsVignettesNoNEWSYes · 100% structured · mentions 2.5.1Citation fileNoWebsiteYes
Description cites a JSS article
Help pages
58 (3 internal)includes a package overview page
Examples that run
84%37 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
85%
Documented parameters
100%
Return-value docs
98%
Help pages citing references
0%

Downloads

Daily download trend is not available in this view yet.
Also on35 r2u6 autocran

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.6methods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Author, Maintainer since 2.3.0 (2018)
Author · added in 1.0.0
Author · added in 2.3.0

Previously maintained by Michael Levy (1.2.0 to 2.2.0) and Levi Thatcher (0.1.11 to 1.0.0).

Releases (13)

Pick two releases to compare their code metrics.

  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-12-05
    issues were not corrected in time
  • unarchivedReturned to CRAN
    2022-09-05
  • 2.5.1
    record
    2022-09-05 · diff ↗ ·
    removed 3 exports
    countMissingData, selectData, writeData
  • archivedRemoved from CRAN
    2022-07-18
    check issues were not addressed in time
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2020-08-06
  • 2.5.0
    record
    2020-08-05 · diff ↗
  • archivedRemoved from CRAN
    2020-06-15
    check problems were not corrected in time
  • R
    R 4.0.0 released · 2020-04-24
  • 2.4.0
    record
    2020-02-28 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 2.3.0
    record
    2018-12-12 · diff ↗ ·
    added 8 exports
    step_dummy_hcai, step_locfimpute, tidy, tidy.step_add_levels, tidy.step_date_hcai, tidy.step_dummy_hcai, tidy.step_locfimpute, tidy.step_missing
  • 2.2.0
    record
    2018-09-01 · diff ↗ ·
    added 9 exports
    Mode, evaluate_multiclass, explore, get_cutoffs, get_thresholds, is.multiclass_list, make_na, pip, rename_with_counts
  • 2.1.0
    record
    2018-07-01 · diff ↗ ·
    removed 3 exports
    catalyst_test_deploy_in_prod, start_prod_logs, stop_prod_logs
    added 4 exports
    add_best_levels, get_best_levels, get_random_hyperparameters, interpret
Show 10 earlier eventsHide 10 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • 2.0.0
    record
    2018-04-20 · diff ↗ ·
    removed 66 exports
    KmeansClustering, LassoDeployment, LassoDevelopment, LinearMixedModelDeployment, LinearMixedModelDevelopment, RandomForestDeployment, RandomForestDevelopment, RiskAdjustedComparisons, SupervisedModelDeployment, SupervisedModelDeploymentParams, SupervisedModelDevelopment, SupervisedModelDevelopmentParams, UnsupervisedModel, UnsupervisedModelParams, XGBoostDeployment, XGBoostDevelopment, addSAMUtilityCols, assignClusterLabels, calculateAllCorrelations, calculateCOV, calculateConfusion, calculateHourBins, calculatePerformance, calculateSDChanges, calculateTargetedCorrelations, calulcateAlternatePredictions, convertDateTimeColToDummies, countDaysSinceFirstDate, countPercentEmpty, createAllCombinations and 36 more
    added 32 exports
    %>%, add_SAM_utility_cols, as.model_list, build_connection_string, control_chart, convert_date_cols, db_read, evaluate, evaluate_classification, evaluate_regression, flash_models, get_hyperparameter_defaults, get_supported_models, get_variable_importance, hcai_impute, impute, is.classification_list, is.model_list, is.predicted_df, is.regression_list, load_models, machine_learn, missingness, pivot, prep_data, save_models, separate_drgs, split_train_test, step_add_levels, step_date_hcai and 2 more
  • 1.2.4
    record
    2018-02-14 · diff ↗
  • 1.2.3
    record
    2017-12-22 · diff ↗ ·
    added 2 exports
    nelsonRule1, splitOutDateTimeCols
  • 1.2.0
    record
    2017-10-27 · diff ↗ ·
    removed 1 export
    skip_if_no_MSSQL
    added 4 exports
    catalyst_test_deploy_in_prod, skip_on_not_appveyor, start_prod_logs, stop_prod_logs
  • 1.0.0
    record
    2017-09-11 · diff ↗ ·
    removed 1 export
    imputeColumn
    added 29 exports
    KmeansClustering, UnsupervisedModel, UnsupervisedModelParams, XGBoostDeployment, XGBoostDevelopment, addSAMUtilityCols, assignClusterLabels, calculateCOV, calculateConfusion, countMissingData, createAllCombinations, createVarianceTallTable, dataScale, distancePointLine, distancePointSegment, findElbow, findVariation, getPipedValue, getPipedWordCount, ignoreSpecWarn, imputeDF, isNumeric, isTargetYN, lineMagnitude, pcaAnalysis, removeColsWithDTSSuffix, removeColsWithOnlyNA, skip_if_no_MSSQL, variationAcrossGroups
  • 0.1.12
    record
    2017-05-05 · diff ↗ ·
    added 5 exports
    calculateHourBins, featureAvailabilityProfiler, getCutOffList, percentDataAvailableInDateRange, plotProfiler
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.11
    record
    2017-02-13
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-02-13
Total releases
13 / 9 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6
Bundled data
25 KB / 2 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("healthcareai")
Thatcher, L., Levy, M., Mastanduno, M., Larsen, T., Miller, T., & Sumsion, R. (n.d.). healthcareai: Tools for Healthcare Machine Learning (Version 2.5.1) [Computer software]. Retrieved October 18, 2026, from https://CRAN.R-project.org/package=healthcareai

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for healthcareai version 2.5.1 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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