plot.cv_tfCox: Plots Cross-Validation Curve for Object of Class "cv_tfCox"
In tfCox: Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model

Description Usage Arguments Author(s) See Also Examples

This function plots the cross-validation curve for models fitted by a range of tuning parameter lambda using cv_tfCox. The cross-validation error with +/-1 standard error is plotted for each value of lambda. The dotted vertical line indicates the chosen lambda corresponding to the minimum cross-validation error.

1 2	## S3 method for class 'cv_tfCox' plot(x, showSE=F, ...)

`x`	an object of class "cv_tfCox"
`showSE`	a logical (TRUE or FALSE) for whether the standard errors of the curve should be plotted
`...`	additional arguments to be passed. These are ignored in this function.

Jiacheng Wu

cv_tfCox

#generate data
set.seed(123)
dat = sim_dat(n=100, zerof=0, scenario=1)

#fit piecewise constant functions
#cross-validation to choose the tuning parameter lambda with fixed alpha=1
cv = cv_tfCox(dat, ord=0, alpha=1, n.fold=2, seed=123)
plot(cv, showSE=TRUE)