Many of us work with high-frequency spatial & temporal data that can frustrate causal inference.
That's why we created geocausal, a new R package that helps you identify counterfactuals for user-specified windows even in the face of spillover & carryover effects. Check it out:
geocausal: Causal Inference with Spatio-Temporal Data
Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estim...
