as_nomogram {hdnom} | R Documentation |
Construct nomogram ojects for high-dimensional Cox models
Description
Construct nomograms ojects for high-dimensional Cox models
Usage
as_nomogram(
object,
x,
time,
event,
pred.at = NULL,
fun.at = NULL,
funlabel = NULL
)
Arguments
object |
Model object fitted by 'hdnom::fit_*()' functions. |
x |
Matrix of training data used for fitting the model. |
time |
Survival time. Must be of the same length with
the number of rows as |
event |
Status indicator, normally 0 = alive, 1 = dead.
Must be of the same length with the number of rows as |
pred.at |
Time point at which to plot nomogram prediction axis. |
fun.at |
Function values to label on axis. |
funlabel |
Label for |
Note
The nomogram visualizes the model under the automatically selected "optimal" hyperparameters (e.g. lambda, alpha, gamma).
Examples
data(smart)
x <- as.matrix(smart[, -c(1, 2)])
time <- smart$TEVENT
event <- smart$EVENT
y <- survival::Surv(time, event)
fit <- fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11)
nom <- as_nomogram(
fit, x, time, event, pred.at = 365 * 2,
funlabel = "2-Year Overall Survival Probability"
)
print(nom)
plot(nom)
[Package hdnom version 6.0.3 Index]