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healthyR.ai

0.1.2Package record

The Machine Learning and AI Modeling Companion to 'healthyR'

0packages dependsuggested by 1
4.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.

Changes in 0.1.2

Breaking Changes

1. Fix #355 - Ensure that all hai_data_* functions that return a new recipe

object all have the same name. The new name for the updated recipe object is:

new_rec_obj.

2. Remove modeltime dependency - The package now uses parallelly::makeClusterPSOCK()

and parallel::stopCluster() instead of modeltime::parallel_start() and

modeltime::parallel_stop(). Added parallel and parallelly as suggested

packages.

3. Fix #376 - Deprecate magrittr %>% in favor of native R pipe |>. This

requires R >= 4.1.0. The magrittr package has been removed from Imports.

4. Fix #379 - Deprecate hai_kmeans_automl() and hai_kmeans_automl_predict()

  • remove h2o dependency
Show all changes in 0.1.2Hide the rest of the changes in 0.1.2

New Features

None

Minor Fixes and Improvements

None

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-10
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 572 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileNoWebsiteYes · pkgdown
Help pages
78 (2 internal)
Examples that run
84%62 run in a plain check · 12 never run
Exported functions with examples
95%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
1%

Downloads

4.3K
CRAN downloads in the past year
Rank #6,561 · ~12/day · ~362/mo
Daily download trend is not available in this view yet.
59230 days
1.3K90 days
4.3K1 year
Compare downloads with other packages →
Also on78 r2u5 autocran

Repository

18Stars
6Forks
1Open issues
0Open PRs
16Releases
1,015Commits
5Commit identities
healthyrhealthyversehealthcareanalyticsaiartificial-intelligencemachine-learningr
1,015 commits · Last activity 2026-08-22 · Default branch at 0.1.2.9000, ahead of CRAN 0.1.2 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-05-12 · 182026-07-07 · 18
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/spsanderson/healthyr.ai on 2026-10-11.

Governance and community (1)
Issue templates
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-08-22

pkgdown site last built 2026-08-22

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • GitHub Copilotfirst seen 2025-10-31
    Seen in the repository: .github/instructions
    Pull request: opened by its own account
    Commits: 15 by its own account
Review tools
  • Copilot code review
    Commits: at least 18 accepting its review suggestions
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
31 external dependencies (excludes base and recommended)

Installing healthyR.ai adds 97 packages (47 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 0.0.1 (2021), Copyright holder
Releases (16)

Pick two releases to compare their code metrics.

  • 0.1.2Latest
    record
    2026-08-21 · current release · diff ↗ ·
    removed 1 export
    %>%
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    record
    2025-04-24 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    record
    2024-09-11 · diff ↗ ·
    added 1 export
    generate_mesh_data
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-04-03
  • 0.0.13
    record
    2023-04-03 · diff ↗
  • archivedRemoved from CRAN
    2023-03-27
    requires archived package 'healthyR'
  • 0.0.12
    record
    2023-02-01 · diff ↗
  • 0.0.11
    record
    2023-01-12 · diff ↗
  • 0.0.10
    record
    2022-11-16 · diff ↗ ·
    added 5 exports
    hai_data_impute, hai_data_poly, hai_data_scale, hai_data_transform, hai_data_trig
  • 0.0.9
    record
    2022-10-04 · diff ↗ ·
    added 11 exports
    hai_kmeans_scree_plot, hai_umap_list, hai_umap_plot, kmeans_mapped_tbl, kmeans_obj, kmeans_scree_data_tbl, kmeans_scree_plt, kmeans_tidy_tbl, kmeans_user_item_tbl, umap_list, umap_plt
  • 0.0.8
    record
    2022-07-04 · diff ↗ ·
    added 20 exports
    color_blind, hai_auto_c50, hai_auto_cubist, hai_auto_earth, hai_auto_glmnet, hai_auto_ranger, hai_auto_svm_poly, hai_auto_svm_rbf, hai_auto_wflw_metrics, hai_auto_xgboost, hai_c50_data_prepper, hai_cubist_data_prepper, hai_earth_data_prepper, hai_glmnet_data_prepper, hai_ranger_data_prepper, hai_scale_color_colorblind, hai_scale_fill_colorblind, hai_svm_poly_data_prepper, hai_svm_rbf_data_prepper, hai_xgboost_data_prepper
  • 0.0.7
    record
    2022-04-29 · diff ↗ ·
    added 9 exports
    hai_auto_knn, hai_default_classification_metric_set, hai_default_regression_metric_set, hai_knn_data_prepper, hai_scale_zscore_augment, hai_scale_zscore_vec, hai_skewed_features, required_pkgs.step_hai_scale_zscore, step_hai_scale_zscore
Show 8 earlier eventsHide 8 earlier events
  • R
    R 4.2.0 released · 2022-04-22
  • 0.0.6
    record
    2022-02-28 · diff ↗ ·
    added 9 exports
    hai_density_hist_plot, hai_density_plot, hai_density_qq_plot, hai_distribution_comparison_tbl, hai_get_density_data_tbl, hai_get_dist_data_tbl, hai_histogram_facet_plot, hai_kurtosis_vec, hai_skewness_vec
  • 0.0.5
    record
    2022-01-07 · diff ↗ ·
    added 5 exports
    hai_range_statistic, hai_scale_zero_one_augment, hai_scale_zero_one_vec, required_pkgs.step_hai_scale_zero_one, step_hai_scale_zero_one
  • 0.0.4
    record
    2021-12-08 · diff ↗ ·
    added 8 exports
    hai_winsorized_move_augment, hai_winsorized_move_vec, hai_winsorized_truncate_augment, hai_winsorized_truncate_vec, required_pkgs.step_hai_winsorized_move, required_pkgs.step_hai_winsorized_truncate, step_hai_winsorized_move, step_hai_winsorized_truncate
  • 0.0.3
    record
    2021-11-23 · diff ↗ ·
    added 13 exports
    hai_fourier_augment, hai_fourier_discrete_augment, hai_fourier_discrete_vec, hai_fourier_vec, hai_hyperbolic_augment, hai_hyperbolic_vec, hai_polynomial_augment, required_pkgs.step_hai_fourier, required_pkgs.step_hai_fourier_discrete, required_pkgs.step_hai_hyperbolic, step_hai_fourier, step_hai_fourier_discrete, step_hai_hyperbolic
  • 0.0.2
    record
    2021-09-03 · diff ↗ ·
    added 10 exports
    get_juiced_data, hai_kmeans_automl, hai_kmeans_automl_predict, hai_kmeans_mapped_tbl, hai_kmeans_obj, hai_kmeans_scree_data_tbl, hai_kmeans_scree_plt, hai_kmeans_tidy_tbl, hai_kmeans_user_item_tbl, pca_your_recipe
  • 0.0.1
    record
    2021-08-20
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-20
Total releases
16 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
267 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("healthyR.ai")
Sanderson, S. (2026). healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.healthyR.ai

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 healthyR.ai version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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