spaci
Causal Effect Estimation Under Spatial Confounding and Interference
Implements the distance-adjusted propensity score with interference (iDAPS) and recoverU+ methods for estimating the average treatment effect on the treated (ATT) from spatial observational data in the presence of both spatial confounding and spatial interference. iDAPS matches units on a data-driven composite of propensity-score distance, spatial proximity and neighbourhood-exposure distance. recoverU+ is a doubly robust estimator that augments the propensity-score and control-outcome models with a partially recovered spatial confounder and a neighbourhood-exposure term. The package also provides the naive propensity score, DAPS and recoverU comparators, and a simulator for the spatial confounding/interference data-generating process.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | spaci_0.1.1.tar.gz |
257.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | spaci_0.1.1.tar.gz |
257.2 KiB |
0.1.1 |
rolling source/ R- | spaci_0.1.1.tar.gz |
195.3 KiB |
0.1.1 |
latest linux/jammy R-4.5 | spaci_0.1.1.tar.gz |
257.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | spaci_0.1.1.tar.gz |
257.2 KiB |
0.1.1 |
latest source/ R- | spaci_0.1.1.tar.gz |
195.3 KiB |
0.1.1 |
2026-04-23 source/ R- | spaci_0.1.1.tar.gz |
0 B |