pc_search: PC search

In nicolagnecco/causalXtreme: Causal discovery in heavy-tailed models

PC search

Description

Runs PC algorithm given a dataset dat.

Usage

pc_search(dat, alpha = 0.05)

Arguments

dat	Numeric matrix. Dataset matrix with n rows (observations) and p columns (variables).
alpha	Numeric — between 0 and 1. The significance level for the individual conditional independence tests. By default it is set to 0.05.

Details

The function pcalg:pc() is called with the following arguments:

• suffStat = list(C = cor(dat), n = NROW(dat)),

• indepTest = gaussCItest,

• u2pd = "retry" — this ensures that the produced CPDAG is extendible to a DAG,

• skel.method = "stable".

Value

Square binary matrix (or NA in case of error). The CPDAG estimated from the data.

nicolagnecco/causalXtreme documentation built on July 19, 2023, 3:06 a.m.