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heimdall

1.2.727

Drift Adaptable Models

0packages depend
4.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Eduardo OgasawaraFirst published 2024-05-276 releasesCRAN page ↗GitHub ↗

In streaming data analysis, it is crucial to detect significant shifts in the data distribution or the accuracy of predictive models over time, a phenomenon known as concept drift. The package aims to identify when concept drift occurs and provide methodologies for adapting models in non-stationary environments. It offers a range of state-of-the-art techniques for detecting concept drift and maintaining model performance. Additionally, the package provides tools for adapting models in response to these changes, ensuring continuous and accurate predictions in dynamic contexts. Methods for concept drift detection are described in Tavares (2022) doi:10.1007/s12530-021-09415-z.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 184 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
41%

Downloads

4.2K
CRAN downloads in the past year
Rank #8,259 · ~12/day · ~352/mo
Daily download trend is not available in this view yet.
23630 days
1.1K90 days
4.2K1 year
Compare downloads with other packages →
Also on128 r2u22 autocran

Repository

Repository
2Stars
0Forks
0Open issues
0Open PRs
0Releases
150Commits
2Contributors
150 commits · Last activity 2026-05-21

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/cefet-rj-dal/heimdall on 2026-08-23.

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

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (8)
Maintainer (1)
Author, Thesis advisor, Maintainer
Authors (4)
Author, Thesis advisor, Maintainer
Author · added in 1.2.707
Contributors (3)
Contributor
Contributor
Contributor
Copyright holders (1)
Copyright holder · added in 1.2.707
Listed in earlier versions (1)
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.727Latest
    2026-03-10 · current release · diff ↗
  • 1.2.707
    2025-05-13 · diff ↗
  • 1.0.737
    2025-04-28 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.717
    2024-06-30 · diff ↗
  • 1.0.707
    2024-06-22 · diff ↗
  • 1.0.3
    2024-05-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-05-27
Total releases
6 / 2 yrs
License
MIT + file LICENSE OSI
Bundled data
16 KB / 1 file
Download size
60 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("heimdall")
Ogasawara, E., CEFET/RJ, Carvalho, D., Carvalho, L., Machado, R., Pacitti, E., Porto, F., & Tavares, L. (2026). heimdall: Drift Adaptable Models (Version 1.2.727) [Computer software]. https://doi.org/10.32614/CRAN.package.heimdall

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 heimdall version 1.2.727 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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