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BayesProject  

Fast Projection Direction for Multivariate Changepoint Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesProject", "1.0")



Attach the package and use:
library("BayesProject")
Maintained by
Georg Hahn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-29
Latest Update: 2020-09-29
Description:
Implementations in 'cpp' of the BayesProject algorithm (see G. Hahn, P. Fearnhead, I.A. Eckley (2020) ) which implements a fast approach to compute a projection direction for multivariate changepoint detection, as well as the sum-cusum and max-cusum methods, and a wild binary segmentation wrapper for all algorithms.
How to cite:
Georg Hahn (2020). BayesProject: Fast Projection Direction for Multivariate Changepoint Detection. R package version 1.0, https://cran.r-project.org/web/packages/BayesProject. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited BayesProject R package
View BayesProject citation profile
Other R packages that BayesProject depends, imports, suggests or enhances
Complete documentation for BayesProject
Functions, R codes and Examples using the BayesProject R package
Some associated functions: bayes . summaxcusum . testdata-data . wildBinSeg . 
Some associated R codes: Bayes.R . RcppExports.R . testdata.R .  Full BayesProject package functions and examples
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