Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables

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Documentation for package ‘flexCausal’ version 0.1.0

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

Help Pages

data_backdoor	Data generated from a classic backdoor model, where the pre-treatment variable X cause A and Y, and the treatment A cause Y.
data_example_a	Data generated from the simulation model in Figure 4(a) of the paper <https://arxiv.org/abs/2409.03962>. The model can also be found in Figure (a) of the github repository: <https://github.com/annaguo-bios/flexCausal>
data_example_b	Data generated from the simulation model in Figure 4(b) of the paper <https://arxiv.org/abs/2409.03962>. The model can also be found in Figure (b) of the github repository: <https://github.com/annaguo-bios/flexCausal>
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.