Description
Methods for Causal Inference with Interference.
Description
Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.
README.md
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.