Plot Cross-Validation Results

Plots the cross-validated estimating-equation score norms versus \(\log(\lambda)\), with separate lines for the readmission and death components. A vertical dashed line marks the lambda that minimizes the combined norm. The top axis shows the total number of active variables along the path.

Usage

# S3 method for class 'swjm_cv'
plot(x, log_lambda = TRUE, ...)

Arguments

x

An object of class "swjm_cv".

log_lambda

Logical. If TRUE (default) the x-axis is \(\log(\lambda)\); otherwise raw \(\lambda\).

...

Currently unused.

Value

Invisibly returns x.

Examples

# \donttest{
dat <- generate_data(n = 50, p = 10, scenario = 1, model = "jfm")
cv  <- cv_stagewise(dat$data, model = "jfm", penalty = "coop",
                    max_iter = 200)
#> Error in folds1[[kk]]: subscript out of bounds
plot(cv)
#> Error: object 'cv' not found
# }