| Predict.matrix.cr.smooth {mgcv} | R Documentation |
The various built in smooth classes for use with gam have associate Predict.matrix
method functions to enable prediction from the fitted model.
## 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)
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 |
.
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.
A matrix mapping the coeffients for the smooth term to its values at the supplied data values.
Simon N. Wood simon.wood@r-project.org
Wood S.N. (2017) Generalized Additive Models: An Introduction with R (2nd edition). Chapman and Hall/CRC Press.
## see smooth.construct