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ActiveLearning4SPM

0.1.0

Active Learning for Process Monitoring

0packages depend
2.4Kdownloads / year
66.5%test coverage
13/13checks pass

Overview

About
Maintained by Christian CapezzaFirst published 2025-10-071 releasesCRAN page ↗

Implements the methodology introduced in Capezza, Lepore, and Paynabar (2025) doi:10.1080/00401706.2025.2561744 for process monitoring with limited labeling resources. The package provides functions to (i) simulate data streams with true latent states and multivariate Gaussian observations as done in the paper, (ii) fit partially hidden Markov models (pHMMs) using a constrained Baum-Welch algorithm with partial labels, and (iii) perform stream-based active learning that balances exploration and exploitation to decide whether to request labels in real time. The methodology is particularly suited for statistical process monitoring in industrial applications where labeling is costly.

Latest changes · 0.1.0

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.08
66.5%
Coverage · measured lines
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 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 · 2,741 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
94%
Return-value docs
100%
References docs
80%

Downloads

2.4K
CRAN downloads in the past year
Rank #16,593 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
17130 days
64090 days
2.4K1 year
Compare downloads with other packages →
Also on335 r2u11 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-07
Total releases
1 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.2
Download size
26 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ActiveLearning4SPM")
Capezza, C., Lepore, A., & Paynabar, K. (2025). ActiveLearning4SPM: Active Learning for Process Monitoring (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ActiveLearning4SPM

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 ActiveLearning4SPM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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