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Produces a plot for summary object of a fitted interval search model. Plot 'visited' points against iteration steps. start.N points are initial points selected before interval search starts.

Usage

# S3 method for class 'sum.intsearch'
plot(x, type = "summary", startN = 21, ...)

Arguments

x

an object of class sum.intsearch as returned by the function summary.intsearch.

type

type of plot to be drawn, type="summary" will plot the partial log likelihood deviance as a function of both tuning parameters \(\alpha\) and log \(\lambda\). The final solution will be highlighted by solid red line. Alternativly, type="points" will draw the distribution of initial and visited points of the interval search plotted in chronological order.

startN

number of initial points. Needed if type="points"

...

additional argument(s)

References

Sill M., Hielscher T., Becker N. and Zucknick M. (2014), c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models, Journal of Statistical Software, Volume 62(5), pages 1–22. https://doi.org/10.18637/jss.v062.i05.

Author

Natalia Becker \ natalia.becker@dkfz.de