COLP: Causal Discovery for Bivariate Cateogrical Data

In COLP: Causal Discovery for Categorical Data with Label Permutation

Causal Discovery for Bivariate Cateogrical Data

Description

Estimate a causal directed acyclic graph (DAG) for ordinal cateogrical data with greedy or exhaustive search.

Usage

COLP(y, x, algo = "E")

Arguments

y	factor, a potential effect variable
x	factor, a potential cause variable
algo	exhaustive search (algo="E") of category ordering or greedy search (algo="G")

Value

A list of length 3. cd = 1 if x causes y; cd = 0 otherwise. P is the optimal odering of the effect variable. epsilon is the difference in log-likelihood favoring x causes y.

Examples

fit = COLP(CatPairs[[1]][[1]]$Diffwt,CatPairs[[1]][[1]]$Treat,algo="E")
fit$cd

COLP documentation built on Sept. 29, 2022, 9:06 a.m.