An R Package for Multiple Break-Point Detection via the Cross-Entropy Method

Implements the Cross-Entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in continuous and discrete measurements (Priyadarshana and Sofronov (2015), Priyadarshana and Sofronov (2012a), Priyadarshana and Sofronov (2012b)).


NEWS/ChangeLog for breakpoint R Package

1.2 2016-01-12 o More refinements to the exisiting functions with added functionalities. User can specify the initial locations to obtain more precise estimates of the locations. o Different model selection criteria are now supported (BIC/AIC/mBIC). o In continuous data, both changes in mean and variances can now be estimated.

1.1 2014-12-21 o Bug fixes and added new functionalities to detect break-points in over-dispersed count data.

1.0 2014-01-17 o Version 1.0 of the breakpoint package was submitted.

Reference manual

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1.2 by Priyadarshana W.J.R.M., 4 years ago

Browse source code at

Authors: Priyadarshana W.J.R.M. and Georgy Sofronov

Documentation:   PDF Manual  

GPL (>= 2) license

Imports ggplot2, MASS, msm, foreach, parallel, doParallel

See at CRAN