Make predictions from a smoothed multi-output quantile regression — predict.smoothqr • smoothqr

Make predictions from a smoothed multi-output quantile regression

Usage

# S3 method for smoothqr
predict(object, newdata, ...)

Arguments

object: Object of class inheriting from smooth_qr
newdata: A matrix or data frame in which to look for variables with which to predict. May NOT be omitted.
...: not used

Value

a List of predicted values, one matrix per response.

Examples

x <- matrix(rnorm(100 * 10), nrow = 100)
y <- matrix(rnorm(100 * 10), nrow = 100)
out <- smooth_qr(x, y, tau = c(.25, .5, .75))
p <- predict(out, newdata = x[1:10, ])