sub_loop: Complementary pairs subsampling loop

In cbl: Causal Discovery under a Confounder Blanket

Complementary pairs subsampling loop

Description

This function executes one loop of the model quartet for a given pair of foreground variables and records any disconnections and/or (de)activations.

Usage

sub_loop(b, i, j, x, z_t, s, params, ...)

Arguments

b	Subsample index.
i	First foreground variable index.
j	Second foreground variable index.
x	Matrix of foreground variables.
z_t	Intersection of iteration-t known non-descendants for foreground variables i and j.
s	Regression method. Current options are "lasso" or "boost".
params	Optional list of parameters to use when s = "boost".
...	Extra parameters to be passed to the feature selection subroutine.

cbl documentation built on Dec. 28, 2022, 1:55 a.m.