Other packages > Find by keyword >

bayesWatch  

Bayesian Change-Point Detection for Process Monitoring with Fault Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesWatch", "0.1.4")



Attach the package and use:
library("bayesWatch")
Maintained by
Alexander C. Murph
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-23
Latest Update: 2024-01-27
Description:
Bayes Watch fits an array of Gaussian Graphical Mixture Models to groupings of homogeneous data in time, called regimes, which are modeled as the observed states of a Markov process with unknown transition probabilities. In doing so, Bayes Watch defines a posterior distribution on a vector of regime assignments, which gives meaningful expressions on the probability of every possible change-point. Bayes Watch also allows for an effective and efficient fault detection system that assesses what features in the data where the most responsible for a given change-point. For further details, see: Alexander C. Murph et al. (2023) .
How to cite:
Alexander C. Murph (2023). bayesWatch: Bayesian Change-Point Detection for Process Monitoring with Fault Detection. R package version 0.1.4, https://cran.r-project.org/web/packages/bayesWatch. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1.0 (2023-10-23 18:20), 0.1.1 (2023-11-05 07:30), 0.1.2 (2023-11-20 20:10), 0.1.3 (2024-01-27 18:50)
Other packages that cited bayesWatch R package
View bayesWatch citation profile
Other R packages that bayesWatch depends, imports, suggests or enhances
Complete documentation for bayesWatch
Functions, R codes and Examples using the bayesWatch R package
Some associated functions: bayeswatch . detect_faults . full_data . get_point_estimate . plot.bayesWatch . print.bayesWatch . 
Some associated R codes: RcppExports.R . create_simulated_data.R . fit_regimes.R . helpers.R . posterior_analysis.R . simulated_data.R .  Full bayesWatch package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
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  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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