Nothing
predict.robmixglm <-
function(object, newdata = NULL, type = c("link", "response"), ...)
{
if (!inherits(object, 'robmixglm'))
stop("Primary argument much be a robmixglm object")
call <- match.call()
if (missing(type)) type <- "link"
if(is.null(newdata)) {
lp <- object$X %*% matrix(coef(object),ncol=1) + object$offset
if (type=="link") return(lp)
else return(switch(
object$family,
gaussian = lp,
binomial = 1.0/(1.0+exp(-lp)),
poisson = exp(lp),
gamma = exp(lp),
truncpoisson = exp(lp),
nbinom = exp(lp)
))
}
Terms <- delete.response(terms(object))
m <- model.frame(Terms, newdata,
xlev = object$xlevels)
X <- model.matrix(Terms, m, contrasts.arg = object$contrasts)
offset <- rep(0, nrow(X))
# if (!is.null(off.num <- attr(terms(object), "offset")))
# for(i in off.num)
# offset <- offset + eval(attr(terms(object), "variables")[[i+1]], newdata)
if (!is.null(object$call$offset))
offset <- offset + eval(object$call$offset, newdata)
lp <- as.vector(X %*% matrix(coef(object),ncol=1))+offset
if (type=="link") return(lp)
else return(switch(
object$family,
gaussian = lp,
binomial = 1.0/(1.0+exp(-lp)),
poisson = exp(lp),
gamma = exp(lp),
truncpoisson = exp(lp),
nbinom = exp(lp)
))
}
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