CausalGAM

R package CausalGAM: Estimation of Causal Effects with Generalized Additive Models. This package implements various estimators for average treatment effects—an inverse probability weighted (IPW) estimator, an augmented inverse probability weighted (AIPW) estimator, and a standard regression estimator—that make use of generalized additive models for the treatment assignment model and/or outcome model.


References in zbMATH (referenced in 2 articles )

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  1. Santtu Tikka and Juha Karvanen: Identifying Causal Effects with the R Package causaleffect (2017) not zbMATH
  2. Willem van der Wal; Ronald Geskus: ipw: An R Package for Inverse Probability Weighting (2011) not zbMATH