Predict from a Partial Quantile Tensor Regression Fit
Usage
# S3 method for class 'pqtr'
predict(object, newX = NULL, newZ = NULL, ...)
Arguments
- object
A fit from pqtr() or pqtr_cv().
- newX
New subjects, in either form accepted by pqtr(). If omitted,
the fitted values for the subjects used in fitting are returned.
- newZ
New ordinary covariates, required when the fit used Z.
- ...
Unused.
Value
A numeric vector of predicted conditional tau-th quantiles, one
per subject.
Examples
set.seed(3)
X <- lapply(1:80, function(i) matrix(rnorm(20), 5, 4))
y <- vapply(X, function(xi) xi[1, 1], numeric(1)) + rnorm(80)
fit <- pqtr(X, y, tau = 0.5, u = c(1, 1))
predict(fit, X[1:5])
#> [1] -1.2025514 -0.6799958 -1.4658828 -0.6715724 0.4085330