Description Usage Arguments Value Examples
This function is similar to the FOHSIC
function. The only
difference lies in the adaptive selection of the number of causal kernels.
First, similarly to FOHSIC
, the order of selection of the
n kernels in K
is determined, and then, the size of the subset
of ordered kernels is chosen. The size is chosen as to maximize the overall
association with the kernel L.
1 | adaFOHSIC(K, L)
|
K |
list of kernel similarity matrices |
L |
kernel similarity matrix for the outcome |
a list where the the first item selection
is the order of
selection of all kernels in the list K
and the second item is the
number of selected kernels.
1 2 3 4 5 6 7 8 |
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