hypercoef: Extract Model Hyper-parameter
In KSPM: Kernel Semi-Parametric Models

Description Usage Arguments Value Author(s) References See Also Examples

Returns hyper-parameters for a model of class "kspm".

1	hypercoef(object, ...)

`object`	an object of class "kspm", usually, a result of a call to `kspm`.
`...`	additional optional argument (currently unused).

A list of parameter.

`lambda`	A vector of penalisation arameters.
`kernel`	A vector of tunning parameters.

Catherine Schramm, Aurelie Labbe, Celia Greenwood

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.

kspm for fitting model.

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))
hypercoef(fit)