kernel.list

kernel part formula provided in the <code>kspm</code> function.

formula

data provided in the <code>kspm</code> function.

data

row names of samples as they are evaluated in <code>kspm</code> function.

names

internal method for listing all kernel parts included in the model

To fit the kernel semi-parametric model and its extensions. It allows multiple kernels and unlimited interactions in the same model. Coefficients are estimated by maximizing a penalized log-likelihood; penalization terms and hyperparameters are estimated by minimizing leave-one-out error. It includes predictions with confidence/prediction intervals, statistical tests for the significance of each kernel, a procedure for variable selection and graphical tools for diagnostics and interpretation of covariate effects. Currently it is implemented for continuous dependent variables. The package is based on the paper of Liu et al. (2007), <doi:10.1111/j.1541-0420.2007.00799.x>.

kernel.list: List of kernel parts included in the kernel semi parametric model

Description

Usage

Arguments