Event Details:
This event is open to:
Free and open to the public
All seminars are on Tuesdays at 8:30 am PT (11:30 am ET / 4:30 pm London / 5:30 pm Berlin).
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Tuesday, July 27, 2021 [Link to join] (ID: 995 8569 5110, Password: 007080)
- Speaker: Johannes Textor (Radboud University)
- Title: Causal Inference using the R package DAGitty
- 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.
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