Predict method for kernel Quantile Regression object
Prediction of test data for kernel quantile regression
## S4 method for signature 'kqr' predict(object, newdata)
object |
an S4 object of class |
newdata |
a data frame, matrix, or kernelMatrix containing new data |
The value of the quantile given by the computed kqr
model in a vector of length equal to the the rows of newdata.
Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at
# create data
x <- sort(runif(300))
y <- sin(pi*x) + rnorm(300,0,sd=exp(sin(2*pi*x)))
# first calculate the median
qrm <- kqr(x, y, tau = 0.5, C=0.15)
# predict and plot
plot(x, y)
ytest <- predict(qrm, x)
lines(x, ytest, col="blue")
# calculate 0.9 quantile
qrm <- kqr(x, y, tau = 0.9, kernel = "rbfdot",
kpar= list(sigma=10), C=0.15)
ytest <- predict(qrm, x)
lines(x, ytest, col="red")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.