aARC | Automatic adversarially robust univariate mean change point... |
ARC | Adversarially robust univariate mean change point detection. |
BD_U | Backward detection with a robust bootstrap change point test... |
BS.cov | Binary Segmentation for covariance change points detection... |
BS.uni.nonpar | Standard binary segmentation for univariate nonparametric... |
BS.univar | Standard binary segmentation for univariate mean change... |
calibrate.online.network.missing | Calibrate step for online change point detection for network... |
changepoints | changepoints-package: A Collections of Change-Point Detection... |
CI.regression | Confidence interval construction of change points for... |
CV.search.DPDU.regression | Grid search based on cross-validation of dynamic programming... |
CV.search.DP.LR.regression | Grid search based on Cross-Validation of all tuning... |
CV.search.DP.poly | Grid search for dynamic programming to select the tuning... |
CV.search.DP.regression | Grid search based on cross-validation of dynamic programming... |
CV.search.DP.univar | Grid search for dynamic programming to select the tuning... |
CV.search.DP.VAR1 | Grid search based on cross-validation of dynamic programming... |
DPDU.regression | Dynamic programming with dynamic update algorithm for... |
DP.poly | Dynamic programming algorithm for univariate polynomials... |
DP.regression | Dynamic programming algorithm for regression change points... |
DP.SEPP | Dynamic programming for SEPP change points detection through... |
DP.univar | Dynamic programming for univariate mean change points... |
DP.VAR1 | Dynamic programming for VAR1 change points detection through... |
gen.cov.mat | Generate population covariance matrix with dimension p. |
gen.missing | Function to generate a matrix with values 0 or 1, where 0... |
gen.piece.poly | Generate univariate data from piecewise polynomials of degree... |
gen.piece.poly.noiseless | Mean function of piecewise polynomials. |
Hausdorff.dist | Bidirectional Hausdorff distance. |
huber_mean | Element-wise adaptive Huber mean estimator. |
lambda.network.missing | Function to compute the default thresholding parameter for... |
local.refine.CV.VAR1 | Local refinement for VAR1 change points detection. |
local.refine.DPDU.regression | Local refinement for DPDU regression change points... |
local.refine.network | Local refinement for network change points detection. |
local.refine.poly | Local refinement for univariate polynomials change point... |
local.refine.regression | Local refinement for regression change points localisation. |
local.refine.univar | Local refinement of an initial estimator for univariate mean... |
local.refine.VAR1 | Local refinement for VAR1 change points detection. |
lowertri2mat | Transform a vector containing lower diagonal entries into a... |
LRV.regression | Long-run variance estimation for regression settings with... |
online.network | Online change point detection for network data. |
online.network.missing | Online change point detection for network data with missing... |
online.univar | Online change point detection with controlled false alarm... |
online.univar.multi | Online change point detection with potentially multiple... |
simu.change.regression | Simulate a sparse regression model with change points in... |
simu.RDPG | Simulate a dot product graph (without change point). |
simu.SBM | Simulate a Stochastic Block Model (without change point). |
simu.SEPP | Simulate a (stable) SEPP model (without change point). |
simu.VAR1 | Simulate from a VAR1 model (without change point). |
softImpute.network.missing | Estimate graphon matrix by soft-impute for independent... |
thresholdBS | Thresholding a BS object with threshold value tau. |
trim_interval | Interval trimming based on initial change point localisation. |
tuneBSmultinonpar | A function to compute change points based on the multivariate... |
tuneBSnonparRDPG | Change points detection for dependent dynamic random dot... |
tuneBSuninonpar | Wild binary segmentation for univariate nonparametric change... |
tuneBSunivar | Univariate mean change points detection based on standard or... |
WBS.intervals | Generate random intervals for WBS. |
WBSIP.cov | Wild binary segmentation for covariance change points... |
WBS.multi.nonpar | Wild binary segmentation for multivariate nonparametric... |
WBS.network | Wild binary segmentation for network change points detection. |
WBS.nonpar.RDPG | Wild binary segmentation for dependent dynamic random dot... |
WBS.uni.nonpar | Wild binary segmentation for univariate nonparametric change... |
WBS.uni.rob | Robust wild binary segmentation for univariate mean change... |
WBS.univar | Wild binary segmentation for univariate mean change points... |
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