Man pages for IDetect
Isolate-Detect Method for Multiple Change-Point Detection

cpt_ic_pcmMultiple change-point detection in the mean via minimising an...
cpt_ic_plmMultiple change-point detection in the slope of a continuous...
cumsum_linCalculate the contrast function that is used in continuous...
cusum_functionCalculate the CUMSUM statistic
cusum_oneCalculate the CUMSUM statistic at specific values
est_signalEstimate the signal
ht_ID_pcmApply the Isolate-Detect methodology for multiple...
ht_ID_plmApply the Isolate-Detect methodology for multiple...
IDMultiple change-point detection in the mean or the slope of a...
IDetect-packageIDetect: Multiple generalised change-point detection using...
ID_pcmMultiple change-point detection in the mean of a vector using...
ID_plmMultiple change-point detection in the slope of a vector...
linear_contr_oneCalculate the contrast function for the continuous...
log_lik_slopeCalculate the log-likelihood in the case of a continuous...
normaliseTransform the noise to be closer to the Gaussian distribution
pcm_thMultiple change-point detection in the mean via thresholding
plm_thMultiple change-point detection in the slope of a...
residCalculate the residuals related to the estimated signal
s_e_pointsDerives a subset of integers from a given set
sic_penSchwarz Information Criterion penalty
sol_path_pcmThe solution path for the case of piecewise-constant mean...
sol_path_plmThe solution path for the case of continuous piecewise-linear...
ssic_penStrengthened Schwarz Information Criterion penalty
wind_pcm_thA window-based approach for multiple change-point detection...
wind_plm_thA window-based approach for multiple change-point detection...
IDetect documentation built on May 7, 2026, 5:09 p.m.