Teaching helper for count predictions from a log-link generalised linear
model. It wraps predict.glm, constructs confidence intervals on
the link scale, exponentiates the fitted values and limits, rounds the result,
and optionally prints the returned table.
predictCount(object, newdata, cilevel = 0.95, digit = 3, print.out = TRUE, ...)Invisibly returns a data frame with three columns:
the predicted count on the response scale.
the lower confidence limit on the response scale.
the upper confidence limit on the response scale.
a glm object, i.e. the output from glm.
prediction data frame.
confidence level for the intervals.
number of decimal places to print.
if TRUE, print the prediction table.
optional arguments that are passed to predict.glm.
This is not an S3 predict() method and is not intended to be a
drop-in replacement for base R prediction methods. It is a specialised
count-focused teaching wrapper. For a more general log-link or logit-link GLM
helper, see predictGLM.
Note: newdata must be a data frame with the same column order and
data types as those used in fitting the model. This stricter interface is kept
for compatibility with the original teaching wrapper.
predict, predict.glm, predictGLM, as.data.frame.