| R6causalimport {R6causal} | R Documentation |
R6causal: R6 class for structural causal models
Description
Package R6causal implements an R6 class for structural causal models (SCM) with latent variables and missing data mechanism. The class contains methods for 1) defining a structural causal model via functions, text or conditional probability tables, 2) printing basic information on the model, 3) plotting the graph for the model using packages 'igraph' or 'qgraph', 4) simulating data from the model, 5) applying an intervention, 6) checking the identifiability of a query using the R packages 'causaleffect' and 'dosearch', 7) defining the missing data mechanism, 8) simulating incomplete data from the model according to the specified missing data mechanism and 9) checking the identifiability in a missing data problem using the R package 'dosearch'. In addition, there are functions for running experiments and doing counterfactual inference using simulation.
References
J. Pearl (2009). Causality, 2nd edition, Cambridge University Press.