Predict.matrix {mgcv} | R Documentation |
Takes smooth
objects produced by smooth.construct
methods and obtains the matrix mapping
the parameters associated with such a smooth to the predicted values of the smooth at a set of new covariate values.
In practice this method is often called via the wrapper function PredictMat
.
Predict.matrix(object,data) Predict.matrix2(object,data)
object |
is a smooth object produced 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 |
.
Smooth terms in a GAM formula are turned into smooth specification objects of
class xx.smooth.spec
during processing of the formula. Each of these objects is
converted to a smooth object using an appropriate smooth.construct
function. The Predict.matrix
functions are used to obtain the matrix that will map the parameters associated with a smooth term to
the predicted values for the term at new covariate values.
Note that new smooth classes can be added by writing a new smooth.construct
method function and a
corresponding Predict.matrix
method function: see the example code provided for
smooth.construct
for details.
A matrix which will map the parameters associated with the smooth to the vector of values of the smooth
evaluated at the covariate values given in object
. If the smooth class
is one which generates offsets the corresponding offset is returned as
attribute "offset"
of the matrix.
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.
gam
,gamm
,
smooth.construct
, PredictMat
# See smooth.construct examples