logbin (version 1.2)

predict.logbin: Predict Method for logbin Fits

Description

Obtains predictions from a fitted logbin object.

Usage

"predict"(object, newdata = NULL, type = c("link", "response", "terms"),  terms = NULL, na.action = na.pass, checkminmax = TRUE, ...)

Arguments

object

a fitted object of class inheriting from "logbin".

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 "response" is on the scale of the response variable. The "terms" option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale.

The value of this argument can be abbreviated.

terms

with type = "terms" by default all terms are returned. A character vector specifies which terms are to be returned.

na.action

function determining what should be done with missing values in newdata. The default is to predict NA.

checkminmax

logical indicating whether or not values of continuous covariates in newdata should be checked to ensure they lie within the covariate space associated with the fitted model. Otherwise predicted values could lie outside the parameter space.

...

further arguments passed to or from other methods.

Value

A vector or matrix of predictions. For type = "terms", this is a matrix with a column per term, and may have an attribute "constant".

Details

If newdata is omitted the predictions are based on the data used for the fit. In that case how cases with missing values in the original fit are treated is determined by the na.action argument of that fit. If na.action = na.omit, omitted cases will not appear in the residuals. If na.action = na.exclude they will appear, with residual value NA. See also napredict.

See Also

logbin

predict.glm for the equivalent method for models fit using glm.

Examples

## For an example, see example(logbin)