a fitted object of class inheriting from
"glmmPQL".
newdata
optionally, a new data frame from which to make the
predictions.
type
the type of prediction required. The default is on the scale of the
linear predictors; the alternative
"response" is on the scale of the
response variable. Thus for a default binomial model the default
predictions are of log-odds (probabilities on logit scale) and
type = "response" gives the predicted
probabilities.
level
an optional integer vector giving the level(s) of grouping
to be used in obtaining the predictions. Level values increase from
outermost to innermost grouping, with level zero corresponding to the
population predictions. Defaults to the highest or innermost level of
grouping.
na.action
function determining what should be done with missing values in
newdata. The default is to predict
NA.
...
further arguments passed to or from other methods.
VALUE:
If
level is a single integer, a vector
otherwise a data frame.
SEE ALSO:
,
.
EXAMPLES:
fit <- glmmPQL(y ~ trt + I(week > 2), random = ~1 | ID,
family = binomial, data = bacteria)
predict(fit, bacteria, level = 0, type="response")
predict(fit, bacteria, level = 1, type="response")