R: Methods for Function "predict" in Package "aod"

predict-methods {aod} | R Documentation

## Methods for Function "predict" in Package "aod"

### Description

“predict” methods for fitted models generated by functions in package aod.

### Usage

      ## S4 method for signature 'glimML'
    predict(object, newdata = NULL,
        type = c("response", "link"), se.fit = FALSE, ...)
      ## S4 method for signature 'glimQL'
    predict(object, newdata = NULL,
        type = c("response", "link"), se.fit = FALSE, ...)

### Arguments

`object` | A fitted model of formal class “glimML” (functions `betabin` or `negbin`) or “glimQL” (functions `quasibin` or `quasipois`).
`newdata` | A data.frame providing all the explanatory variables necessary for predictions.
`type` | A character string indicating the scale on which predictions are made: either “response” for predictions on the observation scale, or “link” for predictions on the scale of the link.
`se.fit` | A logical scalar indicating whether pointwise standard errors should be computed for the predictions.
`...` | Other arguments passed to methods.

### Methods

glimML

  Compute predictions for models of formal class “glimML”, presently generated by functions `betabin` and `negbin`. See the examples for these functions.

glimQL

  Compute predictions for models of formal class “glimQL”, presently generated by the functions `quasibin` and `quasibin`. See the examples for these functions.

### See Also

`predict.glm`

[Package aod version 1.3 Index]