as_nomogram {hdnom} | R Documentation |
Construct nomograms ojects for high-dimensional Cox models
as_nomogram(object, x, time, event, pred.at = NULL, fun.at = NULL, funlabel = NULL)
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 |
The nomogram visualizes the model under the automatically selected "optimal" hyperparameters (e.g. lambda, alpha, gamma).
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)