plot.cv.grpregOverlap: Plots the cross-validation curve from cross-validated object

In YaohuiZeng/grpregOverlap: Penalized Regression Models with Overlapping Grouped Covariates

Description

Plots the cross-validation curve from a a cv.grpregOverlap or cv.grpsurvOverlap object.

Usage

## S3 method for class 'cv.grpregOverlap'
plot(x, log.l=TRUE, type=c("cve", "rsq", "scale",
"snr", "pred", "all"),  selected=TRUE, vertical.line=TRUE, col="red",
...)

Arguments

x	A cv.grpregOverlap or cv.grpsurvOverlap object.
log.l	Should horizontal axis be on the log scale? Default is TRUE.
type	What to plot on the vertical axis. cve plots the cross-validation error (deviance); rsq plots an estimate of the fraction of the deviance explained by the model (R-squared); snr plots an estimate of the signal-to-noise ratio; scale plots, for family="gaussian", an estimate of the scale parameter (standard deviation); pred plots, for family="binomial", the estimated prediction error; all produces all of the above.
selected	If TRUE (the default), places an axis on top of the plot denoting the number of groups in the model (i.e., that contain a nonzero regression coefficient) at that value of lambda.
vertical.line	If TRUE (the default), draws a vertical line at the value where cross-validaton error is minimized.
col	Controls the color of the dots (CV estimates).
...	Other graphical parameters to plot

Author(s)

Yaohui Zeng and Patrick Breheny

Maintainer: Yaohui Zeng <[e-mail]>

YaohuiZeng/grpregOverlap documentation built on Aug. 10, 2020, 3:13 p.m.