predict.ps {PFLR} | R Documentation |
Predict Method for Penalized B-splines objects
Description
Predicted values based on objects of class "ps".
Usage
## S3 method for class 'ps'
predict(object, Xnew, ...)
Arguments
object |
An object of class "ps". |
Xnew |
New covariate matrix for prediction, should be dense, centred. |
... |
Not applicable |
Value
Predicted values.
Examples
library(fda)
betaind = 1
snr = 2
nsim = 1
n = 50
p = 21
Y = array(NA,c(n,nsim))
X = array(NA,c(n,p,nsim))
domain = c(0,1)
M = 20
d = 3
alpha = 10^(-(10:3))
for(itersim in 1:nsim)
{
dat = ngr.data.generator.bsplines(n=n,nknots=64,norder=4,p=p,domain=domain,snr=snr,betaind=betaind)
Y[,itersim] = dat$Y
X[,,itersim] = dat$X
}
psfit = PenS(Y=Y[1:n,1],X=(X[1:n,,1]), alpha=alpha, M=M, d=d, domain=domain)
predict(psfit,X[1:n,,1])
[Package PFLR version 1.0.0 Index]