cia-package: cia: Learn and Apply Directed Acyclic Graphs for Causal...

In cia: Learn and Apply Directed Acyclic Graphs for Causal Inference

cia: Learn and Apply Directed Acyclic Graphs for Causal Inference

Description

Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2015.1133426")}.

Author(s)

Maintainer: Mathew Varidel [e-mail] (ORCID) [copyright holder]

Other contributors:

• Victor An [e-mail] [contributor]

See Also

Useful links:

• https://spaceodyssey.github.io/cia/

• Report bugs at https://github.com/SpaceOdyssey/cia/issues

cia documentation built on April 4, 2025, 5:23 a.m.