predict.flirti {PFLR} | R Documentation |
Predict Method for flirti Objects
Description
Predicted values based on objects of the class "flirti".
Usage
## S3 method for class 'flirti'
predict(object, Xnew, ...)
Arguments
object |
An object of class "flirti". |
Xnew |
New covariate matrix for prediction, should be dense, centred. |
... |
Not applicable |
Value
Predicted values.
Examples
library(fda)
betaind = 1
snr = 2
nsim = 200
n = 50
p = 21
Y = array(NA,c(n,nsim))
X = array(NA,c(n,p,nsim))
domain = c(0,1)
lambda = seq(0.0005,0.01,length.out = 10)
Mf = 6:13
extra=list(Mf=Mf,lambda=lambda)
for(itersim in 1:nsim)
{
dat = ngr.data.generator.bsplines(n=n,nknots=64,norder=4,p=p,domain=domain,snr=snr,betaind=1)
Y[,itersim] = dat$Y
X[,,itersim] = dat$X
}
fltyfit = FLiRTI(Y=Y[1:n,1],(X[1:n,,1]),d=3,cons=4,domain=domain,extra=extra)
predict(fltyfit,(X[1:n,,1]))
[Package PFLR version 1.0.0 Index]