Other packages > Find by keyword >

ActiveLearning4SPM  

Active Learning for Process Monitoring
View on CRAN: Click here


Download and install ActiveLearning4SPM package within the R console
Install from CRAN:
install.packages("ActiveLearning4SPM")

Install from Github:
library("remotes")
install_github("cran/ActiveLearning4SPM")

Install by package version:
library("remotes")
install_version("ActiveLearning4SPM", "0.1.0")



Attach the package and use:
library("ActiveLearning4SPM")
Maintained by
Christian Capezza
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-07
Latest Update: 2025-10-07
Description:
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.
How to cite:
Christian Capezza (2025). ActiveLearning4SPM: Active Learning for Process Monitoring. R package version 0.1.0, https://cran.r-project.org/web/packages/ActiveLearning4SPM. Accessed 09 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ActiveLearning4SPM R package
View ActiveLearning4SPM citation profile
Other R packages that ActiveLearning4SPM depends, imports, suggests or enhances
Complete documentation for ActiveLearning4SPM
Functions, R codes and Examples using the ActiveLearning4SPM R package
Full ActiveLearning4SPM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
rzentra  
Client for the 'ZENTRA Cloud' API
Provides functionality to read settings, statuses and readings of weather stations from the 'ZENTRA ...
Download / Learn more Package Citations See dependency  
ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
Download / Learn more Package Citations See dependency  
pooling  
Fit Poolwise Regression Models
Functions for calculating power and fitting regression models in studies where a biomarker is measur ...
Download / Learn more Package Citations See dependency  
Rgb  
The R Genome Browser
Classes and methods to efficiently handle (slice, annotate, draw ...) genomic features (such as gene ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA