Nothing
## Evaluate hazard estimate
predict.sscox <- function (object,newdata,se.fit=FALSE,
include=c(object$terms$labels,object$lab.p),...)
{
if (!inherits(object,"sscox")) stop("gss error in predict.sscox: not a sscox object")
nnew <- nrow(newdata)
nbasis <- length(object$id.basis)
nnull <- length(object$d)
nz <- length(object$b)
nn <- nbasis + nnull + nz
labels.p <- object$lab.p
## Extract included terms
if (!is.null(object$d)) s <- matrix(0,nnew,nnull)
r <- matrix(0,nnew,nbasis)
for (label in include) {
if (label%in%labels.p) next
xx <- object$mf[object$id.basis,object$terms[[label]]$vlist]
xnew <- newdata[,object$terms[[label]]$vlist]
nphi <- object$terms[[label]]$nphi
nrk <- object$terms[[label]]$nrk
if (nphi) {
iphi <- object$terms[[label]]$iphi
phi <- object$terms[[label]]$phi
for (i in 1:nphi) {
s[,iphi+(i-1)] <- phi$fun(xnew,nu=i,env=phi$env)
}
}
if (nrk) {
irk <- object$terms[[label]]$irk
rk <- object$terms[[label]]$rk
for (i in 1:nrk) {
r <- r + 10^object$theta[irk+(i-1)]*
rk$fun(xnew,xx,nu=i,env=rk$env,out=TRUE)
}
}
}
if (!is.null(object$partial)) {
vars.p <- as.character(attr(object$partial$mt,"variables"))[-1]
facs.p <- attr(object$partial$mt,"factors")
vlist <- vars.p[as.logical(apply(facs.p,1,sum))]
for (lab in labels.p) {
if (lab%in%include) {
vlist.wk <- vars.p[as.logical(facs.p[,lab])]
vlist <- vlist[!(vlist%in%vlist.wk)]
}
}
if (length(vlist)) {
for (lab in vlist) newdata[[lab]] <- 0
}
matx.p <- model.matrix(object$partial$mt,newdata)[,-1,drop=FALSE]
matx.p <- sweep(matx.p,2,object$partial$center)
matx.p <- sweep(matx.p,2,object$partial$scale,"/")
nu <- nnull-dim(matx.p)[2]
for (label in labels.p) {
nu <- nu+1
if (label%in%include) s[,nu] <- matx.p[,label]
}
}
## random effects
if (nz) {
if (is.null(newdata$random)) z.wk <- matrix(0,nnew,nz)
else z.wk <- newdata$random
rs <- cbind(r,z.wk,s)
}
else rs <- cbind(r,s)
if (!se.fit) as.vector(exp(rs%*%c(object$c,object$b,object$d)))
else {
fit <- as.vector(exp(rs%*%c(object$c,object$b,object$d)))
se.fit <- .Fortran("hzdaux2",
as.double(object$se.aux$v), as.integer(dim(rs)[2]),
as.integer(object$se.aux$jpvt),
as.double(t(rs)), as.integer(dim(rs)[1]),
se=double(dim(rs)[1]), PACKAGE="gss")[["se"]]
list(fit=fit,se.fit=se.fit)
}
}
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