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EHRtemporalVariability

1.2.2

Delineating Temporal Dataset Shifts in Electronic Health Records

0packages depend
1.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Carlos SáezFirst published 2026-04-2813 releasesCRAN page ↗GitHub ↗

Functions to delineate temporal dataset shifts in Electronic Health Records through the projection and visualization of dissimilarities among data temporal batches. This is done through the estimation of data statistical distributions over time and their projection in non-parametric statistical manifolds, uncovering the patterns of the data latent temporal variability. 'EHRtemporalVariability' is particularly suitable for multi-modal data and categorical variables with a high number of values, common features of biomedical data where traditional statistical process control or time-series methods may not be appropriate. 'EHRtemporalVariability' allows you to explore and identify dataset shifts through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots. An additional 'EHRtemporalVariability' Shiny app can be used to load and explore the package results and even to allow the use of these functions to those users non-experienced in R coding. (Sáez et al. 2020) doi:10.1093/gigascience/giaa079.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-14
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-10
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-07-01
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 10 earlier snapshots
  • ERROR2026-06-24
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-23
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-20
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-12
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-28
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-25
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-24
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-29
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 701 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

1.5K
CRAN downloads in the past year
Rank #7,819 · ~4/day · ~129/mo
Daily download trend is not available in this view yet.
23130 days
1.1K90 days
1.5K1 year
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Repository

Repository
17Stars
8Forks
0Open issues
0Open PRs
0Releases
43Commits
1Contributors
dataset-shiftstimeelectronic-health-recordsvisualizationdata-qualitydata-quality-monitoringbiomedical-data-sciencebiomedical-informatics
License Apache-2.0 · 43 commits · Last activity 2026-04-28

Stars over time

2024-12-15 · 172026-07-07 · 17

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/hms-dbmi/ehrtemporalvariability on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.3.0dplyr
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Author · added in 1.0.1
Copyright holders (2)
Package Timeline

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

  • 1.2.2Latest
    2026-04-28 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-04-28
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-12-17
    issues were not corrected in time
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1
    2024-01-26 · diff ↗
  • 1.2.0
    2023-12-17 · diff ↗
  • unarchivedReturned to CRAN
    2023-12-17
  • archivedRemoved from CRAN
    2023-09-19
    policy violation On Internet access
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.4
    2021-05-31 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.2.1
    2020-10-09 · diff ↗
  • 1.1.2
    2020-10-08 · diff ↗
Show 10 earlier events
  • 1.1.1
    2020-05-25 · diff ↗
  • 1.1.0
    2020-05-21 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.4
    2020-03-28 · diff ↗
  • 1.0.3
    2020-03-26 · diff ↗
  • 1.0.2
    2019-09-26 · diff ↗
  • 1.0.1
    2019-06-11 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0
    2019-03-14
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2026-04-28
Total releases
13 / 1 yrs
License
Apache License 2.0 | file LICENSE OSI
Minimum R
≥ 4.3.0
Download size
3.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EHRtemporalVariability")
Sáez, C., Biomedical Data Science Lab, Universitat Politècnica de València (Spain), Department of Biomedical Informatics, Harvard Medical School, Avillach, P., García-Gómez, J. M., Gutiérrez-Sacristán, A., & Kohane, I. (2026). EHRtemporalVariability: Delineating Temporal Dataset Shifts in Electronic Health Records (Version 1.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.EHRtemporalVariability

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EHRtemporalVariability version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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