predictGLM function

Predictions for Generalized Linear Models

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

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.

Returns

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.

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.

See Also

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