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", "0.1.3")



Attach the package and use:
library("bayesWatch")
Maintained by
Alexander C. Murph
[Scholar Profile | Author Map]
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 0.1.3, https://cran.r-project.org/web/packages/bayesWatch. Accessed 12 Apr. 2025.
Previous versions and publish date:
0.1.0 (2023-10-23 18:20), 0.1.1 (2023-11-05 07:30), 0.1.2 (2023-11-20 20:10)
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
03/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/11Downloads for bayesWatch246810121416TrendBars

Today's Hot Picks in Authors and Packages

sparseBC  
Sparse Biclustering of Transposable Data
Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse biclustering of transpo ...
Download / Learn more Package Citations See dependency  
dials  
Tools for Creating Tuning Parameter Values
Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the d ...
Download / Learn more Package Citations See dependency  
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  
oysteR  
Scans R Projects for Vulnerable Third Party Dependencies
Collects a list of your third party R packages, and scans them with the 'OSS' Index provided by 'So ...
Download / Learn more Package Citations See dependency  
rem  
Relational Event Models (REM)
Calculate endogenous network effects in event sequences and fit relational event models (REM): Using ...
Download / Learn more Package Citations See dependency  
modeest  
Mode Estimation
Provides estimators of the mode of univariate data or univariate distributions. ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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