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lod <- function(object, ..., alpha = 0.05, k = 1, n = 1, w = "auto")
{
UseMethod("lod")
}
loq <- function(object, ..., alpha = 0.05, k = 3, n = 1, w = "auto")
{
lod(object = object, alpha = alpha, k = k, n = n, w = w)
}
lod.default <- function(object, ..., alpha = 0.05, k = 1, n = 1, w = "auto")
{
stop("lod is only implemented for univariate lm objects.")
}
lod.lm <- function(object, ..., alpha = 0.05, k = 1, n = 1, w = "auto")
{
f <- function(x) {
y <- predict(object, data.frame(x = x))
p <- inverse.predict(object, rep(y, n), ws = w, alpha = alpha)
(p[["Prediction"]] - k * p[["Confidence"]])^2
}
tmp <- optimize(f,interval=c(0,max(object$model$x)))
return(tmp$minimum)
}
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