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 12 Sep. 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

mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

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