R: Efficient Implementation of Binary Segmentation

# Efficient Implementation of Binary Segmentation

## Documentation for package ‘binsegRcpp’ version 2023.8.31

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

## Help Pages

binseg | Binary segmentation
binsegRcpp | Binary segmentation
binseg_interface | binseg interface
binseg_normal | Binary segmentation, normal change in mean
binseg_normal_cv | Binary segmentation, normal change in mean, cross-validation for model selection
case.colors | case colors
case.sizes | case sizes
check_sizes | check sizes
coef.binsegRcpp | coef binsegRcpp
coef.binseg_normal_cv | coef binseg normal cv
cum_median | cum median
cum_median_interface | cum median interface
depth_first_interface | depth first interface
get_complexity | get complexity
get_complexity_best_heuristic_equal_breadth_full | get complexity best heuristic equal breadth full
get_complexity_best_heuristic_equal_depth_full | get complexity best heuristic equal depth full
get_complexity_best_optimal_cost | get complexity best optimal cost
get_complexity_best_optimal_splits | get complexity best optimal splits
get_complexity_best_optimal_tree | get complexity best optimal tree
get_complexity_empirical | get complexity empirical
get_complexity_extreme | get complexity extreme
get_complexity_worst | get complexity worst
get_distribution_info | get distribution info
get_tree_empirical | get tree empirical
plot.binsegRcpp | plot binsegRcpp
plot.binseg_normal_cv | plot binseg normal cv
plot.complexity | plot complexity
print.binsegRcpp | print binsegRcpp
print.binseg_normal_cv | print binseg normal cv
qp.x | qp x
random_set_vec | random set vec
size_to_splits | size to splits
tree_layout | tree layout