CausalFX

R package CausalFX: Methods for Estimating Causal Effects from Observational Data. Estimate causal effects of one variable on another, currently for binary data only. Methods include instrumental variable bounds, adjustment by a given covariate set, adjustment by an induced covariate set using a variation of the PC algorithm, and an effect bounding method (the Witness Protection Program) based on covariate adjustment with observable independence constraints.

Keywords for this software

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References in zbMATH (referenced in 2 articles )

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  1. Pearl, Judea: Causality. Models, reasoning, and inference (2009)
  2. Pearl, Judea: Causality. Models, reasoning, and inference (2000)