Function to obtain predictions using the estimated model.
# S3 method for glmsmurf
predict(
object,
newdata = NULL,
newoffset = NULL,
type = c("link", "response", "terms"),
...
)
An object of class 'glmsmurf
', typically the result of a call to glmsmurf
or glmsmurf.fit
.
Optionally, a data frame containing the predictors used in the prediction.
This can only be used when object
contains a formula.
When newdata
is omitted, the predictions are based on the data used to fit the model in object
.
Optionally, a vector containing a new offset to be used in the prediction.
When newoffset
is omitted, the predictions use the offset which was used to fit the model in object
.
Type of prediction. The default is on the scale of the linear predictors ("link"
).
Another option is on the scale of the response variable ("response"
).
For type "terms"
a matrix containing the fitted values of each term in the model, on the linear predictor scale, is returned.
Additional arguments which are currently ignored.
A vector containing the predicted values using the estimated model in object
.
predict_reest
, predict.glm
, predict
,
glmsmurf
, glmsmurf-class
# NOT RUN {
## See example(glmsmurf) for examples
# }
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