sum_causal_paths: Summarize causal relationship between two variables

In rje42/DAGtools: Tools for fitting and analysing DAGs via MCMC

Summarize causal relationship between two variables

Description

Summarize causal relationship between two variables

Usage

sum_causal_paths(
  object,
  i,
  j,
  digits = 2,
  alpha = 0.1,
  show = TRUE,
  indirect = TRUE
)

Arguments

object	augmented output of MCMC algorithm
i, j	variables whose relationship is to be analysed
digits	how to round numbers in printed output (see details)
alpha	mass to remove from confidence interval (so defaults to 90% CI)
show	logical: should ACE be printed?
indirect	logical: if true includes indirect effects

Details

Get summary of causal connections and mediations. Prints summary and returns list of total_eff, direct_eff and indirect_eff, each being a list with entries to and from.

The output is printed as a mixture of percentages and causal effects, each of which is rounded to 2 significant figures by default. This value can be modified by using the digits argument.

rje42/DAGtools documentation built on June 6, 2024, 3:13 a.m.