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).
See 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
Eliminates set_NA_to_0 to interference.
Modifies the integrate_allocation argument to interference. The default is now to include the allocation parameter in the weight term.
Adds diagnose_weights function which prints histograms of group-level weights.
method argument of numDeriv::grad(),
the causal_estimation_options of interference() has changed. variance_estimation = 'simple' is now variance_estimation = 'naive'.