An internal function, called by fosr(), that fits additive models
with linear constraints via a call to gam or
bam in the mgcv package.
amc(y, Xmat, S, gam.method = "REML", C = NULL, lambda = NULL, ...)response vector.
design matrix.
list of penalty matrices.
smoothing parameter selection method: "REML" for restricted maximum likelihood, "GCV.Cp" for generalized cross-validation.
matrix of linear constraints. Dimension should be number of
constraints times ncol(Xmat).
smoothing parameter value. If NULL, the smoothing
parameter(s) will be estimated.
A list with the following elements:
the gam
object returned by gam or bam.
coefficients with respect to design matrix Xmat,
derived from the gam() fit.
outputs used by
fosr.
the gam.method argument of the call to
amc.
The additive model is fitted using gam, unless there
are more than 10000 responses; in that case bam is
used.