Predict Linear Predictors from a coxkl Object

Computes linear predictors for new data based on a fitted coxkl model. If eta is supplied, predictions are returned for those eta values; otherwise predictions are returned for all fitted etas. Linear interpolation is applied if an intermediate eta value is requested.

Usage

# S3 method for class 'coxkl'
predict(object, newz, eta = NULL, ...)

Arguments

object

A fitted model object of class "coxkl".

newz

A numeric matrix or data frame of new covariates (must match the dimension of the training design matrix used to fit the model).

eta

Optional numeric vector of eta value(s) for which to predict. If NULL, predictions for all fitted eta values are returned.

...

Additional arguments.

Value

A numeric matrix of linear predictors with one column per eta (sorted ascending).

Details

The linear predictors are computed as as.matrix(newz) %*% beta.

See also

coef.coxkl