mediation: R Package for Causal Mediation Analysis , mediation is a publicly available R package that allows both parametric and nonparametric causal mediation analysis. It implements the methods and suggestions in Imai, Keele, and Yamamoto (2010) and Imai, Keele, Tingley (2010). In addition to the estimation of causal mediation effects, the software also allows researchers to conduct sensitivity analysis for certain parametric models. (Source:

References in zbMATH (referenced in 16 articles , 1 standard article )

Showing results 1 to 16 of 16.
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  1. Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen: Robust Mediation Analysis: The R Package robmed (2022) arXiv
  2. Jiang, Zhichao; Ding, Peng: Identification of causal effects within principal strata using auxiliary variables (2021)
  3. Dobra, Adrian; Buhikire, Katherine; Voss, Joachim G.: Identifying mediating variables with graphical models: an application to the study of causal pathways in people living with HIV (2020)
  4. Hsu, Yu-Chin; Huber, Martin; Lai, Tsung-Chih: Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting (2019)
  5. Wang, Kai: Maximum likelihood analysis of linear mediation models with treatment-mediator interaction (2019)
  6. Mair, Patrick: Modern psychometrics with R (2018)
  7. Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017) not zbMATH
  8. Kim, Chanmin; Daniels, Michael J.; Marcus, Bess H.; Roy, Jason A.: A framework for Bayesian nonparametric inference for causal effects of mediation (2017)
  9. Qingzhao Yu, Bin Li: mma: An R Package for Mediation Analysis with Multiple Mediators (2017) not zbMATH
  10. Santtu Tikka and Juha Karvanen: Identifying Causal Effects with the R Package causaleffect (2017) not zbMATH
  11. Albert, Jeffrey M.; Geng, Cuiyu; Nelson, Suchitra: Causal mediation analysis with a latent mediator (2016)
  12. Bailey, Drew H.; Zhou, Xinlin; Zhang, Yiyun; Cui, Jiaxin; Fuchs, Lynn S.; Jordan, Nancy C.; Gersten, Russell; Siegler, Robert S.: Development of fraction concepts and procedures in U.S. and Chinese children (2015) MathEduc
  13. Sidney, Pooja G.; Hattikudur, Shanta; Alibali, Martha W.: How do contrasting cases and self-explanation promote learning? Evidence from fraction division (2015) MathEduc
  14. Dustin Tingley; Teppei Yamamoto; Kentaro Hirose; Luke Keele; Kosuke Imai: mediation: R Package for Causal Mediation Analysis (2014) not zbMATH
  15. Imai, Kosuke; Keele, Luke; Yamamoto, Teppei: Identification, inference and sensitivity analysis for causal mediation effects (2010)
  16. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)