R Observatory: Metrics for ActiveLearning4SPM version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ActiveLearning4SPM

0.1.0Package record

Active Learning for Process Monitoring

0packages depend

2.9Kdownloads / year

66.5%test coverage

13/13flavors OK

Overview

About

Maintained by Christian CapezzaCRAN 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.

Changes in 0.1.0

Initial release:

simulate_stream() generates simulates data to perform stream-based active learning for process monitoring, as shown in the simulation study of Capezza, Lepore and Paynabar (2025).
fit_pHMM() fits a partially hidden Markov model (pHMM) to the data, as described in Capezza, Lepore and Paynabar (2025).
fit_pHMM_auto() fits a pHMM to the data with automatic selection of the number of hidden states and with automatic initialization, as shown in Capezza, Lepore and Paynabar (2025).
active_learning_pHMM() performs stream-based active learning for process monitoring, as described in Capezza, Lepore and Paynabar (2025).

References:

Capezza, C., Lepore, A., & Paynabar, K. (2025). Stream-Based Active Learning for Process Monitoring. Technometrics. <doi:10.1080/00401706.2025.2561744>.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ActiveLearning4SPM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-activelearning4spm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ActiveLearning4SPM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# 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-ActiveLearning4SPM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.1 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 2,741 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5 (1 internal)includes a package overview page
Examples that run: 75%3 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 80%

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #15,027 · ~8/day · ~241/mo

Releases R versions

Daily download trend is not available in this view yet.

28230 days

81190 days

2.9K1 year

Compare downloads with other packages →

Also on364 r2u16 autocran

How downloads are counted

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing ActiveLearning4SPM adds 16 packages (13 with compiled code, 24 MB of source tarballs). Heaviest: BH 14 MB, robustbase 2.2 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.2

Imports (8)

Rcpp Rfast mvnfast rrcov caTools abind pROCstats

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (2)

covr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Christian Capezza

Author, Maintainer since 0.1.0 (2025)

Antonio Lepore

Author

Kamran Paynabar

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2025-10-07 · 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ActiveLearning4SPM")

Format

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 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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ActiveLearning4SPM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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