Predict from a morie_lm, optionally with intervals
Usage
# S3 method for class 'morie_lm'
predict(
object,
newdata = NULL,
interval = c("none", "confidence", "prediction"),
level = 0.95,
...
)
Arguments
- object
A morie_lm.
- newdata
Data to predict for (defaults to the training data).
- interval
"none", "confidence", or "prediction" (RE4.14).
- level
Interval coverage.
- ...
Unused.
Value
A numeric vector (interval = "none") or a data.frame with
fit, lwr, upr columns; interval widths quantify forecast error.
Examples
m <- morie_lm(mpg ~ hp, mtcars)
predict(m, interval = "prediction")[1:3, ]
#> fit lwr upr
#> Mazda RX4 22.59375 14.54641 30.64109
#> Mazda RX4 Wag 22.59375 14.54641 30.64109
#> Datsun 710 23.75363 15.66562 31.84164
