R Observatory: Metrics for healthcareai version 2.5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

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

–checks pass

Overview

About

Maintained by Mike Mastanduno13 releasesCRAN page ↗

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.

Install

R (source archive)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/healthcareai/healthcareai_2.5.1.tar.gz"
pkgFile <- "healthcareai_2.5.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.5.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-healthcareai

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-healthcareai

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 0.87

not tracked

Coverage

98%

Documentation · exports

20

Dependencies · direct

Documentation

READMEYes · 421 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 86%
Documented parameters: 100%
Return-value docs: 98%
References docs: 0%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on67 r2u19 autocran

Dependencies

Declared dependencies

25 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.6methods

Imports (19)

caret cowplot data.table dplyr e1071 generics ggplot2 glmnet lubridate MLmetrics purrr ranger recipes rlang ROCR stringr tibble tidyr xgboost

LinkingTo (0)

none

Suggests (6)

covr DBI dbplyr lintr odbc testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)

Maintainer (1)

Mike Mastanduno

Author, Maintainer

Authors (6)

Mike Mastanduno

Author, Maintainer

Levi Thatcher

Author

Michael Levy

Author · added in 1.0.0

Taylor Larsen

Author

Taylor Miller

Author

Rex Sumsion

Author · added in 2.3.0

Package Timeline

13 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-12-05
issues were not corrected in time
2.5.1
2022-09-05 · diff ↗
unarchivedReturned to CRAN
2022-09-05
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
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
2020-02-28 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.3.0
2018-12-12 · diff ↗
2.2.0
2018-09-01 · diff ↗
2.1.0
2018-07-01 · diff ↗

Show 10 earlier events

R
R 3.5.0 released · 2018-04-23
2.0.0
2018-04-20 · diff ↗
1.2.4
2018-02-14 · diff ↗
1.2.3
2017-12-22 · diff ↗
1.2.0
2017-10-27 · diff ↗
1.0.0
2017-09-11 · diff ↗
0.1.12
2017-05-05 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.11
2017-02-13
R
R 3.3.0 released · 2016-05-03

Package metadata

Total releases: 13
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.6
Bundled data: 25 KB / 2 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("healthcareai")

Format

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 August 13, 2026, from https://CRAN.R-project.org/package=healthcareai

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for healthcareai version 2.5.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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