Obtains predictions from a fitted
1 2 3
a fitted object of class inheriting from
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used.
the type of prediction required. The default is on the scale of the linear predictors;
The value of this argument can be abbreviated.
function determining what should be done with missing values in
further arguments passed to or from other methods.
predict.logbin.smooth constructs the underlying basis functions for smooth variables
newdata and runs
predict.logbin to obtain predictions. Note that
if values of smooth covariates in
newdata are outside the covariate space of
object, an error will be returned.
newdata is omitted, the predictions are based on the data used for the fit.
In that case how cases with missing values in the original fit are treated is determined by the
na.action argument of that fit. If
na.action = na.omit, omitted cases
will not appear in the residuals, whereas if
na.action = na.exclude they will
appear, with residual value
NA. See also
A vector or matrix of predictions. For
type = "terms", this is a matrix with
a column per term, and may have an attribute
Variables are first looked for in
newdata and then searched for in the usual
way (which will include the environment of the formula used in the fit). A warning
will be given if the variables found are not of the same length as those in
newdata if it was supplied.
Mark W. Donoghoe email@example.com
## For an example, see example(logbin.smooth)
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