predict.bigglm: Predictions from a biglm/bigglm

In biglm: Bounded Memory Linear and Generalized Linear Models

Predictions from a biglm/bigglm

Description

Computes fitted means and standard errors at new data values after fitting a model with biglm or bigglm.

Usage

## S3 method for class 'bigglm'
predict(object, newdata, type = c("link", "response"), 
se.fit = FALSE, make.function = FALSE, ...)
## S3 method for class 'biglm'
predict(object, newdata=NULL,  se.fit = FALSE, make.function = FALSE, ...)

Arguments

object	fitted model
newdata	data frame with variables for new values
type	link is on the linear predictor scale, response is the response
se.fit	Compute standard errors?
make.function	If TRUE return a prediction function, see Details below
...	not used

Details

When make.function is TRUE, the return value is either a single function that computes the fitted values or a list of two functions that compute the fitted values and standard errors. The input to these functions is the design matrix, without the intercept column. This allows the relatively time-consuming calls to model.frame() and model.matrix() to be avoided.

Value

Either a vector of predicted values or a data frame with predicted values and standard errors.

Author(s)

based on code by Christophe Dutang

References

~put references to the literature/web site here ~

See Also

predict.glm,biglm,bigglm

Examples

example(biglm)
predict(a,newdata=trees)
f<-predict(a,make.function=TRUE)
X<- with(trees, cbind(log(Girth),log(Height)))
f(X)

biglm documentation built on June 22, 2024, 9:43 a.m.