Nothing
predict.npregress <- function(object, newdata, interval= c("none", "confidence", "prediction"), deriv=FALSE, ...) {
interval <- match.arg(interval)
if ((interval == "prediction")|(interval == "confidence")) {
warning("Interval for prediction/confidence is not implemented yet\n")
}
x <- object$call$x
y <- object$call$y
if (missing(newdata) || is.null(newdata)) {
if (!deriv) return(object$fitted) else newdata <- x
} else {
if (any(is.na(newdata))) stop("NA's in newdata\n")
if (!is.numeric(newdata)&(is.data.frame(newdata))) {
newdata <- newdata[,1]
if (!is.numeric(newdata)) stop("first column of data-frame is not numeric\n")
}
if (is.matrix(newdata)) {
newdata <- as.vector(newdata)
}
if (!is.numeric(newdata)) stop("newdata must be a numeric vector (or a data-frame with first column of numeric type)\n")
}
## autre methode
if (object$call$degree==0) {
methode <- "reg"
if (object$call$kernel=="g") {
prov <- .C("regg",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1))
}
if (object$call$kernel=="q") {
prov <- .C("regq",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1))
}
if (object$call$kernel=="e") {
prov <- .C("rege",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1))
}
if (object$call$kernel=="u") {
prov <- .C("regu",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1))
}
deriv <- FALSE
}
if (object$call$degree==1) {
if (object$call$kernel=="g") {
prov <- .C("regpolg",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1),double(length(newdata)))
}
if (object$call$kernel=="q") {
prov <- .C("regpolq",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1),double(length(newdata)))
}
if (object$call$kernel=="e") {
prov <- .C("regpole",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1),double(length(newdata)))
}
if (object$call$kernel=="u") {
prov <- .C("regpolu",as.double(x),as.integer(length(x)),as.double(y),as.double(object$bandwidth),as.double(newdata),as.integer(length(newdata)),double(length(newdata)),double(1),double(length(newdata)))
}
}
if (!deriv) {
Yres <- prov[[7]]
} else {
Yres <- list(yhat=prov[[7]],deriv=prov[[9]])
}
if (object$call$degree>1) stop("Not implemented. Please consider using KernSmooth or another library for degree greater or equal to 2\n")
return(Yres)
}
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