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idaps()
(distance-adjusted propensity score with interference) and
recoverUplus() (doubly robust with recovered spatial
confounder and neighbourhood exposure) estimators, together with the
naive_ps(), daps() and recoverU()
comparators.simulate_spatial_causal() generates data with joint
spatial confounding and interference; spatial_ate() runs
all estimators and collects the results.matern_method = "mle"),
with an optional geoR engine for faithful reproduction of
the report.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.