tfCox (version 0.1.0)

plot.cv_tfCox: Plots Cross-Validation Curve for Object of Class "cv_tfCox"

Description

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.

Usage

# S3 method for cv_tfCox
plot(x, showSE=F, …)

Arguments

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.

See Also

cv_tfCox

Examples

# NOT RUN {
#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)
# }