R: R6 Class for Structural Causal Models

# R6 Class for Structural Causal Models

## Documentation for package ‘R6causal’ version 0.8.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

analytic_linear_gaussian | Simulate data from a conditional linear Gaussian SCM
analytic_linear_gaussian_conditining | Return the mean and the covariance matrix of the conditional distribution of a linear Gaussian SCM
backdoor | SCM "backdoor" used in the examples.
backdoor_md | SCM "backdoor_md" used in the examples.
counterfactual | Counterfactual inference via simulation
credit | SCM "credit" used in the credit scoring example.
fairness | Checking fairness of a prediction via counterfactual simulation
frontdoor | SCM "frontdoor" used in the examples.
generate_condprob | Define structural function by a conditional probability table
LinearGaussianSCM | R6 Class for linear structural causal models where background variables have Gaussian distribution
ParallelWorld | R6 Class for parallel world models
R6causalimport | R6causal: R6 class for structural causal models
run_experiment | Conduct a sequence of interventions and collect the simulated data.
SCM | R6 Class for structural causal models
trapdoor | SCM "trapdoor" used in the examples.