Package: spaci
Title: Causal Effect Estimation Under Spatial Confounding and
        Interference
Version: 0.1.1
Authors@R: c(
    person("Isqeel", "Ogunsola", role = c("aut", "cre"),
           email = "isqeel.ogunsola@postgrad.manchester.ac.uk"),
    person("Olatunji", "Johnson", role = "aut"),
    person("Thomas", "House", role = "aut"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: geoR, ggplot2, readxl, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/Ogunsolaia/spaci
BugReports: https://github.com/Ogunsolaia/spaci/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-11 12:10:11 UTC; b71225io
Author: Isqeel Ogunsola [aut, cre],
  Olatunji Johnson [aut],
  Thomas House [aut]
Maintainer: Isqeel Ogunsola <isqeel.ogunsola@postgrad.manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-21 21:30:02 UTC
