amc: Additive model with constraints

Description Usage Arguments Details Value Author(s) See Also

View source: R/amc.R

Description

An internal function, called by fosr(), that fits additive models with linear constraints via a call to gam or bam in the mgcv package.

Usage

1
amc(y, Xmat, S, gam.method = "REML", C = NULL, lambda = NULL, ...)

Arguments

y

response vector.

Xmat

design matrix.

S

list of penalty matrices.

gam.method

smoothing parameter selection method: "REML" for restricted maximum likelihood, "GCV.Cp" for generalized cross-validation.

C

matrix of linear constraints. Dimension should be number of constraints times ncol(Xmat).

lambda

smoothing parameter value. If NULL, the smoothing parameter(s) will be estimated.

...

other arguments, passed to gam or bam.

Details

The additive model is fitted using gam, unless there are more than 10000 responses; in that case bam is used.

Value

A list with the following elements:

gam

the gam object returned by gam or bam.

coefficients

coefficients with respect to design matrix Xmat, derived from the gam() fit.

Vp, GinvXt

outputs used by fosr.

method

the gam.method argument of the call to amc.

Author(s)

Philip Reiss phil.reiss@nyumc.org

See Also

fosr


refund documentation built on July 1, 2021, 9:06 a.m.