| 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. |