Description Usage Arguments Value Examples
Obtain predicted values from ipriorMod
objects
1 2 3 4 5 6 7 8 9 10 |
object, x |
An |
intervals |
Logical. Calculate the credibility intervals for the fitted
values. Defaults to |
alpha |
The significance level for the credibility intervals. This is a number between 0 and 1. |
... |
Not used. |
newdata |
Either a data frame when using formula method, or a list of vectors/matrices if using default method. Either way, the new data must be structurally similar to the original data used to fit the model. |
y.test |
(Optional) Test data, in order to compute test error rates. |
rows |
(Optional) The number of values/rows to display. |
dp |
(Optional) Decimal places for the values. |
A list of class ipriorPredict
containing the fitted values,
residuals (observed minus fitted), the training mean squared error, and the
lower and upper intervals (if called).
1 2 3 4 5 6 7 8 9 10 11 | dat <- gen_smooth(20)
mod <- iprior(y ~ ., dat, kernel = "se")
fitted(mod)
fitted(mod, intervals = TRUE)
predict(mod, gen_smooth(5))
with(dat, mod <<- iprior(y, X, kernel = "poly"))
newdat <- gen_smooth(30)
mod.pred <- predict(mod, list(newdat$X), y.test = newdat$y, intervals = TRUE)
str(mod.pred)
print(mod.pred, row = 5)
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