Man pages for Lucas-Prates/blockcpd
Change Point Detection for Multiple Aligned Independent Time Series
| check_input | Checks input from caller |
| compare_model | Compare or evaluate model performance with respect to other... |
| compute_dynseg | Block segmentation using dynamical programming |
| compute_hausdorff | Hausdorff distance metric |
| compute_hierseg | Block segmentation using hierarchical algorithm |
| compute_jaccard | Jaccard's Index metric |
| compute_rand | Rand Index Function for change point detection |
| compute_symdiff | Symmetric difference metric |
| confidence_plot | Plot to check reported change-points |
| fit_blockcpd | Fits a blockcpd model |
| plot.blockcpd | Plot for blockcpd object |
| plot.frv | Plot for graphical selection of the constant |
| rcpd | Sampler for the CPD Block Model |
| regularization | Implements the regularization functions used in the... |
| select_frv | Methodology to aid choosing regularization constant |
