Methods for Causal Inference with Interference

Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) . Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) .


inferference

Provides methods for estimating causal effects in the presence of interference. Currently it implements the IPW estimators proposed by EJ Tchetgen Tchetgen and TJ Vanderweele in "On causal inference in the presence of interference" (Statistical Methods in Medical Research, 21(1) 55-75).

See vignette('inferference_intro') for usage.

Reference manual

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install.packages("inferference")

1.0.3 by Bradley Saul, a year ago


Browse source code at https://github.com/cran/inferference


Authors: Bradley Saul [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports numDeriv, lme4, Formula, methods, spaMM

Suggests testthat, knitr, rmarkdown


Suggested by geex.


See at CRAN