plot-methods: Plot for capushe

In capushe: Capushe, Data-Driven Slope Estimation and Dimension Jump

Plot for capushe

Description

The plot methods allow the user to check that the slope heuristics can be applied confidently.

• 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.

Usage

plot(x,y, ...)

Arguments

x	Output of DDSE, Djump or capushe.
...	other arguments : newwindow If newwindow=TRUE (default value), a new window is created for each plot. ask If ask=TRUE (default value), plot waits for the user to press a key to display the next plot (only for the class capushe).
y	is unused.

Details

The graphical window of DDSE is composed of three graphics (see DDSE for more details):

left

The left plot shows -\gamma_n(\hat{s}_m) with respect to the penalty shape values.

topright

Successive slope values \hat{\kappa}(p).

bottomright

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.

Note

Use newwindow=FALSE to produce a PDF files (for an object of class capushe, use moreover ask=FALSE).

capushe documentation built on Sept. 10, 2025, 10:31 a.m.