R: Predictions from a biglm/bigglm

predict.bigglm {biglm} | R Documentation

## 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)

[Package biglm version 0.9-1 Index]