Predict.matrix.cr.smooth Predict matrix method functions
Description
The various built in smooth classes for use with gam have associate Predict.matrix method functions to enable prediction from the fitted model.
Usage
## S3 method for class 'cr.smooth'
Predict.matrix(object, data)
## S3 method for class 'cs.smooth'
Predict.matrix(object, data)
## S3 method for class 'cyclic.smooth'
Predict.matrix(object, data)
## S3 method for class 'pspline.smooth'
Predict.matrix(object, data)
## S3 method for class 'tensor.smooth'
Predict.matrix(object, data)
## S3 method for class 'tprs.smooth'
Predict.matrix(object, data)
## S3 method for class 'ts.smooth'
Predict.matrix(object, data)
## S3 method for class 't2.smooth'
Predict.matrix(object, data)
Arguments
object |
a smooth object, usually generated by a |
data |
A data frame containing the values of the (named) covariates at which the smooth term is to be evaluated. Exact requirements are as for |
.
Details
The Predict matrix function is not normally called directly, but is rather used internally by predict.gam etc. to predict from a fitted gam model. See Predict.matrix for more details, or the specific smooth.construct pages for details on a particular smooth class.
Value
A matrix mapping the coeffients for the smooth term to its values at the supplied data values.
Author(s)
Simon N. Wood simon.wood@r-project.org
References
Wood S.N. (2017) Generalized Additive Models: An Introduction with R (2nd edition). Chapman and Hall/CRC Press.
Examples
## see smooth.construct
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Licensed under the GNU General Public License.