| 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 |