This function executes one loop of the model quartet for a given pair of foreground variables and records any disconnections and/or (de)activations.
sub_loop(b, i, j, x, z_t, s, params, ...)
Subsample index.
First foreground variable index.
Second foreground variable index.
Matrix of foreground variables.
Intersection of iteration-t known non-descendants for foreground
variables i
and j
.
Regression method. Current options are "lasso"
or
"boost"
.
Optional list of parameters to use when s = "boost"
.
Extra parameters to be passed to the feature selection subroutine.