Causal Inference Using Graphical Models with the R Package pcalg

Abstract

The pcalg package for R can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational data. In this document, we give a brief overview of the methodology, and demonstrate the package’s functionality in both toy examples and applications.

Keywords

• IDA
• PC
• RFCI
• FCI
• do-calculus
• causality
• graphical model
• R