coef.kspm {KSPM} | R Documentation |
Extract Model Coefficients
Description
Returns linear and kernel coefficients for a model of class "kspm".
Usage
## S3 method for class 'kspm'
coef(object, ...)
Arguments
object |
an object of class "kspm", usually, a result of a call to |
... |
additional optional argument (currently unused). |
Value
Two matrices of coefficients.
linear |
A vector of coefficients for linear part. One row is one variable. |
kernel |
A matrix of coefficients for linear part. One row is one subject, one column is one kernel part. |
Author(s)
Catherine Schramm, Aurelie Labbe, Celia Greenwood
References
Liu, D., Lin, X., and Ghosh, D. (2007). Semiparametric regression of multidimensional genetic pathway data: least squares kernel machines and linear mixed models. Biometrics, 63(4), 1079:1088.
See Also
kspm for fitting model.
Examples
x <- 1:15
z1 <- runif(15, 1, 6)
z2 <- rnorm(15, 1, 2)
y <- 3*x + (z1 + z2)^2 + rnorm(15, 0, 2)
fit <- kspm(y, linear = ~ x, kernel = ~ Kernel(~ z1 + z2,
kernel.function = "polynomial", d= 2, rho = 1, gamma = 0))
coef(fit)
[Package KSPM version 0.2.1 Index]