plot-grpsurv-func: Plot survival curve for grpsurv model

In grpreg: Regularization Paths for Regression Models with Grouped Covariates

Description

Plot survival curve for a model that has been fit using grpsurv followed by a prediction of the survival function using predict.grpsurv

Usage

## S3 method for class 'grpsurv.func'
plot(x, alpha=1, ...)

Arguments

x	A 'grpsurv.func' object, which is returned by predict.grpsurv if type='survival' is specified. See examples.
alpha	Controls alpha-blending (i.e., transparency). Useful if many overlapping lines are present.
...	Other graphical parameters to pass to plot

Author(s)

Patrick Breheny

See Also

grpsurv, predict.grpsurv

Examples

data(Lung)
X <- Lung$X
y <- Lung$y
group <- Lung$group
fit <- grpsurv(X, y, group)

# A single survival curve
S <- predict(fit, X[1,], type='survival', lambda=.05)
plot(S, xlim=c(0,200))

# Lots of survival curves
S <- predict(fit, X, type='survival', lambda=.05)
plot(S, xlim=c(0,200), alpha=0.3)

Example output

grpreg documentation built on July 27, 2021, 1:08 a.m.