Package: spaci
Title: Causal Effect Estimation Under Spatial Confounding and
        Interference
Version: 0.2.0
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, a simulator for the spatial
        confounding/interference data-generating process and spatial
        inference tools
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Depends: R (>= 4.1.0)
Imports: stats
Suggests: clue, 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
Repository: https://ogunsolaia.r-universe.dev
Date/Publication: 2026-10-07 20:18:51 UTC
RemoteUrl: https://github.com/ogunsolaia/spaci
RemoteRef: HEAD
RemoteSha: 6f91cdfb67a2a2144dfeb7b7ac0af4a0232ab1e1
NeedsCompilation: no
Packaged: 2026-10-07 22:18:01 UTC; root
Author: Isqeel Ogunsola [aut, cre],
  Olatunji Johnson [aut],
  Thomas House [aut]
Maintainer: Isqeel Ogunsola <isqeel.ogunsola@postgrad.manchester.ac.uk>