model.matrix.gam: Extract model matrix from GAM fit
In mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
model.matrix.gam R Documentation
Extract model matrix from GAM fit
Description
Obtains the model matrix from a fitted gam object.
Usage
## S3 method for class 'gam'
model.matrix(object, ...)
Arguments
object
fitted model object of class gam as produced by gam().
...
other arguments, passed to predict.gam.
Details
Calls predict.gam with no newdata argument and
type="lpmatrix" in order to obtain the model matrix of object.
Value
A model matrix.
Author(s)
Simon N. Wood simon.wood@r-project.org
References
Wood S.N. (2006b) Generalized Additive Models: An Introduction with R. Chapman
and Hall/CRC Press.
See Also
gam
Examples
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)
mgcv documentation built on May 29, 2024, 4:34 a.m.
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| model.matrix.gam | R Documentation |
Extract model matrix from GAM fit
Description
Obtains the model matrix from a fitted gam object.
Usage
## S3 method for class 'gam'
model.matrix(object, ...)
Arguments
object |
fitted model object of class |
... |
other arguments, passed to |
Details
Calls predict.gam with no newdata argument and
type="lpmatrix" in order to obtain the model matrix of object.
Value
A model matrix.
Author(s)
Simon N. Wood simon.wood@r-project.org
References
Wood S.N. (2006b) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.
See Also
gam
Examples
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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