kernel_rbf

(numeric) A numeric number indicating the hyperparameter
(flexibility) of a specific kernel.

(integer) For polynomial, p is the power; for matern, v = p + 1 /
2; for rational, alpha = p.

(numeric) The covariance coefficient for neural network kernel.

sigma

Generate matrix-wise functions for two matrices using rbf kernel.

Implementation of Cross-Validated Kernel Ensemble (CVEK),
a flexible modeling framework for robust nonlinear regression and
hypothesis testing based on ensemble learning with kernel-ridge estimators
(Jeremiah et al. (2017) <arXiv:1710.01406> and
Wenying et al. (2018) <arXiv:1811.11025>). It allows user to conduct
nonlinear regression with minimal assumption on the function form by
aggregating nonlinear models generated from a diverse collection of kernel
families. It also provides utilities to test for the estimated nonlinear
effect under this ensemble estimator, using either the asymptotic or
the bootstrap version of a generalized score test.

kernel_rbf: Generating A Single Matrix-wise Function Using RBF

Description

Usage

Arguments

Value

Details

References