Man pages for flexCausal
Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables
| calculate_density_ratio_dnorm | Calculate the density ratio of M given its Markov pillow at... |
| data_backdoor | Data generated from a classic backdoor model, where the... |
| data_example_a | Data generated from the simulation model in Figure 4(a) of... |
| data_example_b | Data generated from the simulation model in Figure 4(b) of... |
| data_frontdoor | Data generated from a classic front-door model. |
| estADMG | Estimate the average causal effect (ACE) under an ADMG. |
| f.adj_matrix | Build an adjacency matrix from a graph. |
| f.children | Get the children of a node OR nodes in a graph. |
| f.descendants | Get the descendants of a node OR nodes in a graph. |
| f.district | Get the district of a vertex in a graph. |
| f.markov_blanket | Get the Markov blanket of a vertex in a graph. |
| f.markov_pillow | Get the Markov pillow of a vertex in a graph. |
| f.parents | Get the parents of a node OR nodes in a graph. |
| f.reachable_closure | Reachable closure of a set of vertices in a graph. |
| f.top_order | Get the topological ordering of a graph from a graph object. |
| is.fix | Fixability of a treatment variable in a graph. |
| is.mb.shielded | Check if a graph is mb-shielded. |
| is.np.saturated | Check if a graph is nonparametrically saturated. |
| is.p.fix | Primal fixability of a treatment variable in a graph. |
| make.graph | Create graph object. |
