R: Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation

# Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation

## Documentation for package ‘breakfast’ version 2.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

breakfast-package | Breakfast: Methods for Fast Multiple Change-point Detection and Estimation
breakfast | Methods for fast detection of multiple change-points
model.fixednum | Estimate the location of change-points when the number of them is fixed
model.gsa | Estimating change-points in the piecewise-constant mean of a noisy data sequence with auto-regressive noise via gappy Schwarz algorithm
model.ic | Estimating change-points or change-point-type features in the mean of a noisy data sequence via the strengthened Schwarz information criterion
model.lp | Estimating change-points in the piecewise-constant mean of a noisy data sequence via the localised pruning
model.sdll | Estimating change-points in the piecewise-constant or piecewise-linear mean of a noisy data sequence via the Steepest Drop to Low Levels method
model.thresh | Estimating change-points in the piecewise-constant or piecewise-linear mean of a noisy data sequence via thresholding
plot.breakfast.cpts | Change-points estimated by the "breakfast" routine
print.breakfast.cpts | Change-points estimated by the "breakfast" routine
print.cptmodel | Change-points estimated by solution path generation + model selection methods
sol.idetect | Solution path generation via the Isolate-Detect method
sol.idetect_seq | Solution path generation using the sequential approach of the Isolate-Detect method
sol.not | Solution path generation via the Narrowest-Over-Threshold method
sol.tguh | Solution path generation via the Tail-Greedy Unbalanced Haar method
sol.wbs | Solution path generation via the Wild Binary Segmentation method
sol.wbs2 | Solution path generation via the Wild Binary Segmentation 2 method
sol.wcm | Solution path generation via the Wild Contrast Maximisation method