Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017)
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).
vignette('inferference_intro') for usage.
updates vignettes to a stripped down version of the JSS paper
effect utilities now only return a smaller subset of columns: alphas, treatments, estimate, std.error, and confidence limits
integrate_allocation argument to
interference. The default is now to include the allocation parameter in the weight term.
diagnose_weights function which prints histograms of group-level weights.
variance_estimation = 'simple'is now
variance_estimation = 'naive'.