mgcv: model.matrix.gam – R documentation

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model.matrix.gam

Extract model matrix from GAM fit

Obtains the model matrix from a fitted gam object.

## S3 method for class 'gam'
model.matrix(object, ...)

`object`	fitted model object of class `gam` as produced by `gam()`.
`...`	other arguments, passed to `predict.gam`.

Calls predict.gam with no newdata argument and type="lpmatrix" in order to obtain the model matrix of object.

A model matrix.

Wood S.N. (2006b) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

require(mgcv)
n <- 15
x <- runif(n)
y <- sin(x*2*pi) + rnorm(n)*.2
mod <- gam(y~s(x,bs="cc",k=6),knots=list(x=seq(0,1,length=6)))
model.matrix(mod)

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

v1.8-35

GPL (>= 2)

Authors

Simon Wood <simon.wood@r-project.org>

Initial release