Causal Inference with Spatio-Temporal Data


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Documentation for package ‘geocausal’ version 0.3.3

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airstrikes airstrikes
airstrikes_base airstrikes_base
conv_owin_into_sf Convert windows into sf objects
get_base_dens Get the baseline density
get_cate Generate a Hajek estimator for heterogeneity analysis
get_cf_dens Get counterfactual densities
get_cf_sum_log_intens Calculate the log counterfactual densities
get_distexp Get the expectation of treatment events with arbitrary distances
get_dist_focus Get distance maps
get_dist_line Get distance maps from lines and polygons
get_elev Get elevation data
get_em_vec convert a list of im objects to a vector
get_est Get causal estimates comparing two scenarios
get_estimates Generate a Hajek estimator
get_hfr Create a hyperframe
get_hist Obtain histories of treatment or outcome events
get_obs_dens Generate observed densities
get_power_dens Get power densities
get_var_bound Calculate variance upper bounds
get_weighted_surf Generate average weighted surfaces
get_window Generate a window
imls_to_arr convert a list of im objects to a three-dimensional array
insurgencies insurgencies
iraq_window iraq_window
pixel_count_ppp Get number of events in a pixel
plot.cate Plot estimated CATE
plot.cflist Plot simulated counterfactual densities
plot.distlist Plot distance-based expectations
plot.est Plot estimates
plot.hyperframe Plot estimates
plot.im Plot im
plot.imlist Plot im objects (list)
plot.obs Plot observed densities
plot.powerlist Plot simulated power densities
plot.ppplist Plot point patterns
plot.weights Plot weights
predict_obs_dens Perform out-of-sample prediction
print.cate Print results
print.est Print results
sim_cf_dens Simulate counterfactual densities
sim_power_dens Simulate power densities
smooth_ppp Smooth outcome events
summary.cate Summarize results
summary.est Summarize results
summary.obs Summarize results