Causal Inference with Spatio-Temporal Data

Documentation for package ‘geocausal’ version 0.3.2

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.est	Plot estimates
plot.hyperframe	Plot estimates
plot.im	Plot im
plot.obs	Plot observed densities
plot.weights	Plot weights
predict_obs_dens	Perform out-of-sample prediction
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