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 |
|
se.fit |
Compute standard errors? |
make.function |
If |
... |
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
Examples
example(biglm)
predict(a,newdata=trees)
f<-predict(a,make.function=TRUE)
X<- with(trees, cbind(log(Girth),log(Height)))
f(X)