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