The plot methods allow the user to check that the slope heuristics can be applied confidently.
Usage
plot(x,newwindow=TRUE,ask=TRUE) for capushe.
plot(x,newwindow=TRUE) for DDSE and Djump.
signature(x = "Capushe")This graphical function displays the DDSE plot and the Djump plot.
signature(x = "DDSE")This graphical function displays the DDSE plot.
signature(x = "Djump")This graphical function displays the Djump plot.
Output of DDSE, Djump or capushe.
If newwindow=TRUE, a new window is created for each
plot.
If ask=TRUE, plot waits for the user to press
a key to display the next plot (only for the class capushe).
The graphical window of DDSE is composed of three graphics (see DDSE for more details):
The left plot shows \(-\gamma_n(\hat{s}_m)\) with respect to the penalty shape values.
Successive slope values \(\hat{\kappa}(p)\).
The bottomright plot shows the selected models \(\hat{m}(p)\) with respect to the successive slope values. The plateau in blue is selected.
The graphical window of Djump shows the complexity \(C_{m(\kappa)}\) of
the selected model with respect to \(\kappa\). \(\hat{\kappa}^{dj}\) corresponds
to the greatest jump. \(\kappa_{opt}\) is defined by \(\kappa_{opt}=scoef\times \hat{\kappa}^{dj}\).
The red line represents the slope interval computed by the DDSE algorithm
(only for capushe). See Djump for more details.