"Causal Inference using the R package DAGitty"
Johannes Textor, Radboud University
Abstract: The R package "DAGitty" is a port of the online tool "dagitty.net" to the R platform for statistical computing. It provides access to graphical causal identification methods such as adjustment sets and instrumental variables, and has capabilities for simulating data from pre-specified graphical causal models. In this talk, I will explain the history and design principles behind the package, and show how it can be used in conjunction with other powerful packages such as ggdag, bnlearn, pcalg, and causaleffect. Special attention will be paid to the issue of testing graphical causal models via implied d-separation or tetrad implications.
July 27, 2021
Негізгі бет Ғылым және технология Johannes Textor: Causal Inference using the R package DAGitty
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