View source: R/glm_hP_methods.R
predict.glm_hP | R Documentation |
Obtains predictions from a fitted "glm_hP"
object.
## S3 method for class 'glm_hP'
predict(object, newdata = NULL, type = c("link", "response"), ...)
object |
a fitted object of class inheriting from |
newdata |
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used. |
type |
the type of prediction required. The default is on the scale of
the linear predictors; the alternative |
... |
further arguments passed to or from other methods. |
A vector with the prediction means.
data(Bids)
## Fit a hype-Poisson model
Bids$size.sq <- Bids$size ^ 2
fit <- glm.hP(formula.mu = numbids ~ leglrest + rearest + finrest +
whtknght + bidprem + insthold + size + size.sq + regulatn,
formula.gamma = numbids ~ 1, data = Bids)
## As the newdata parameter is not used the fitted values are obtained
predict(fit, type = "response")
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