adaFOHSIC |
adaptively selects a subset of kernels in a forward fashion. |
adaQ |
models the forward selection of the kernels for the adaptive variant |
anovaLR |
implements a scaled variant of the maximum likelihood ratio test |
FOHSIC |
selects a fixed number of kernels which are most associated with the outcome kernel. |
forwardQ |
models the forward selection event of a fixed number of kernels as a succession of quadratic constraints |
HSIC |
Computes the HSIC criterion for two given kernels |
kernelPSI |
computes a valid significance value for the effect of the selected kernels on the outcome |
maxLR |
implements the maximum likelihood ratio test |
pcaLR |
generates a closure for the computation of the likelihood ratio statistic for the kernel PCA prototype. |
quadHSIC |
Determines the quadratic form of the HSIC unbiased estimator |
ridgeLR |
generates a closure for the computation of the likelihood ratio statistic for the ridge prototype. |
sampleH |
samples within the acceptance region defined by the kernel selection event |
SKAT |
implements the sequence kernel association test for GWAS data |