ID                      Multiple change-point detection in the mean or
                        the slope of a vector using the Isolate-Detect
                        methodology
ID_pcm                  Multiple change-point detection in the mean of
                        a vector using the Isolate-Detect method
ID_plm                  Multiple change-point detection in the slope of
                        a vector using the Isolate-Detect method
IDetect-package         IDetect: Multiple generalised change-point
                        detection using the Isolate-Detect methodology
cpt_ic_pcm              Multiple change-point detection in the mean via
                        minimising an information criterion
cpt_ic_plm              Multiple change-point detection in the slope of
                        a continuous piecewise-linear mean signal via
                        minimising an information criterion
cumsum_lin              Calculate the contrast function that is used in
                        continuous piecewise-linear mean signals
cusum_function          Calculate the CUMSUM statistic
cusum_one               Calculate the CUMSUM statistic at specific
                        values
est_signal              Estimate the signal
ht_ID_pcm               Apply the Isolate-Detect methodology for
                        multiple change-point detection in the mean of
                        a vector with non Gaussian noise
ht_ID_plm               Apply the Isolate-Detect methodology for
                        multiple change-point detection in the slope of
                        a vector with non Gaussian noise
linear_contr_one        Calculate the contrast function for the
                        continuous piecewise-linear mean case at
                        specific values
log_lik_slope           Calculate the log-likelihood in the case of a
                        continuous piecewise-linear mean signal
normalise               Transform the noise to be closer to the
                        Gaussian distribution
pcm_th                  Multiple change-point detection in the mean via
                        thresholding
plm_th                  Multiple change-point detection in the slope of
                        a piecewise-linear mean signal via thresholding
resid                   Calculate the residuals related to the
                        estimated signal
s_e_points              Derives a subset of integers from a given set
sic_pen                 Schwarz Information Criterion penalty
sol_path_pcm            The solution path for the case of
                        piecewise-constant mean signals
sol_path_plm            The solution path for the case of continuous
                        piecewise-linear mean signals
ssic_pen                Strengthened Schwarz Information Criterion
                        penalty
wind_pcm_th             A window-based approach for multiple
                        change-point detection in the mean via
                        thresholding
wind_plm_th             A window-based approach for multiple
                        change-point detection in the slope of a
                        picewise-linear mean signal via thresholding
