predictGLM: Predictions for Generalized Linear Models

In s20x: Functions for University of Auckland Course STATS 201/208 Data Analysis

Predictions for Generalized Linear Models

Description

An alternative to predictCount to handle Binomial as well as Poisson models

Usage

predictGLM(object, newdata, type = "link", cilevel = 0.95, quasit = FALSE, ...)

Arguments

object	a glm object, i.e. the output from glm.
newdata	prediction data frame.
type	"link" (default) or "response" for CI on linear predictor or response scale.
cilevel	confidence level of the interval.
quasit	if TRUE, t multiplier for CI rather than normal multiplier in the case of a quasi model.
...	optional arguments that are passed to the generic predict.

Details

Note: The data frame, newdata, must have the same column order and data types (e.g. numeric or factor) as those used in fitting the model.

Value

A data frame with three columns:

Predicted

the predicted count.

Conf.lower

the lower bound of the predicted count.

Conf.upper

the upper bound of the predicted count.

See Also

predict, predict.glm, as.data.frame.

s20x documentation built on Aug. 21, 2023, 5:07 p.m.