Efficient Implementation of Binary Segmentation
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Documentation for package ‘binsegRcpp’ version 2022.7.21
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 |