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jmpsteen / medflex

Flexible mediation analysis using natural effect models in R
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causal-inference flexible-modeling mediation-analysis r-package

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medflex

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This R package runs flexible mediation analyses using natural effect models, as introduced in

Lange, T., Vansteelandt, S., & Bekaert, M. (2012). A Simple Unified Approach for Estimating Natural Direct and Indirect Effects. American Journal of Epidemiology, 176(3), 190-195. doi:10.1093/aje/kwr525

Vansteelandt, S., Bekaert, M., & Lange, T. (2012). Imputation Strategies for the Estimation of Natural Direct and Indirect Effects. Epidemiologic Methods, 1(1), Article 7. doi:10.1515/2161-962X.1014

Loeys, T., Moerkerke, B., De Smet, O., Buysse, A., Steen, J., & Vansteelandt, S. (2013). Flexible Mediation Analysis in the Presence of Nonlinear Relations: Beyond the Mediation Formula. Multivariate Behavioral Research, 48(6), 871-894. doi:10.1080/00273171.2013.832132

Installation

To install the CRAN release version: 

install.packages('medflex')

To install the latest development release (requires devtools installation):

devtools::install_github('jmpsteen/medflex')

Citation

If you're using this package, please cite our companion paper in Journal of Statistical Software (which is also available as a vignette to the package)

Steen, J., Loeys, T., Moerkerke, B., & Vansteelandt, S. (2017). medflex: An R Package for Flexible Mediation Analysis Using Natural Effect Models. Journal of Statistical Software, 76(11). doi:10.18637/jss.v076.i11