# Compute information criteria values for a list of models
# @param l list of models
# @param fun likelihood function, such as ICOMP()
multimodel <- function(l, call, fun, complexity)
{
if (length(unique(sapply(l, class))) > 1)
stop("invalid model list specification; models must be of the same class")
criteria <- sapply(l, fun, complexity=complexity)
ret <- as.data.frame(criteria)
colnames(ret) <- deparse(substitute(fun))
row.names(ret) <- paste0(as.character(call[-1][1:length(l)]))
ret <- cbind(Complexity=complexity, ret)
ret
}
# trace
tr <- function(x, logs=FALSE) .Call(R_tr, x, logs)
# sum(x*y)
sumprod <- function(x, y)
{
if (!is.numeric(x) || !is.numeric(y))
stop("arguments 'x' and 'y' must be numeric")
.Call(R_sumprod, x, y)
}
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