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| cov_dep_multi_norm | Simulate covariate-dependent multiscale sup-norm for use in NSP |
| cov_dep_multi_norm_poly | Simulate covariate-dependent multiscale sup-norm for use in NSP, for piecewise-polynomial models |
| cpt_importance | Change-point importance (prominence) plot |
| draw_rects | Draw NSP intervals of significance as shaded rectangular areas on the current plot |
| draw_rects_advanced | Plot NSP intervals of significance at appropriate places along the graph of data |
| nsp | Narrowest Significance Pursuit algorithm with general covariates and user-specified threshold |
| nsp_poly | Narrowest Significance Pursuit algorithm for piecewise-polynomial signals |
| nsp_poly_ar | Narrowest Significance Pursuit algorithm for piecewise-polynomial signals with autoregression |
| nsp_poly_selfnorm | Self-normalised Narrowest Significance Pursuit algorithm for piecewise-polynomial signals |
| nsp_selfnorm | Self-normalised Narrowest Significance Pursuit algorithm with general covariates and user-specified threshold |
| nsp_tvreg | Narrowest Significance Pursuit algorithm with general covariates |
| sim_max_holder | Simulate Holder-like norm of the Wiener process for use in self-normalised NSP |
| thresh_kab | Compute the theoretical threshold for the multiscale sup-norm if the underlying distribution is standard normal |