This is a method for the generic function predict
for class "gl1ce", typically produced from
gl1ce(). When newdata is missing, the
fitted values are extracted, otherwise returns new predictions.
Usage
## S3 method for class 'gl1ce'
predict(object, newdata, type=c("link", "response"),
se.fit = FALSE, ...)
Arguments
object
a fitted gl1ce object.
newdata
a data frame containing the values at which predictions are required.
This argument can be missing, in which case predictions are made at
the same values used to compute the object.
Only those predictors referred to in the right side of the formula in
object need be present by name in newdata.
type
type of predictions, with choices "link" (the default), or
"response". The default produces predictions on the scale of the
additive predictors, and with newdata missing,
predict() is simply an extractor function for this component
of a gl1ce object. If "response" is selected, the
predictions are on the scale of the response, and are monotone
transformations of the additive predictors, using the inverse link
function.
se.fit
logical indicating if standard errors should be returned
as well. Not yet available.
...
further potential arguments passed to methods.
Value
a vector of predictions.
Warning
predict can produce incorrect predictions when the newdata
argument is used if the formula in object involves
data-dependent transformations, such as poly(Age, 3)
or sqrt(Age - min(Age)).
Examples
## start with
example(gl1ce)
predict(gl1c.E, new = esoph[1:7,])# type 'link'
predict(gl1c.E, new = esoph[1:7,], type = "response")
## identities / consistency checks :
stopifnot(predict(gl1c.E, type = "response") == fitted(gl1c.E),
all.equal(predict(gl1c.E)[1:7],
as.vector(predict(gl1c.E, new = esoph[1:7,]))),
all.equal(fitted(gl1c.E)[1:7],
as.vector(predict(gl1c.E, new = esoph[1:7,], type = "response")))
)