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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spaci" in publications use:'
type: software
license: MIT
title: 'spaci: Causal Effect Estimation Under Spatial Confounding and Interference'
version: 0.2.0
doi: 10.32614/CRAN.package.spaci
abstract: 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
authors:
- family-names: Ogunsola
  given-names: Isqeel
  email: isqeel.ogunsola@postgrad.manchester.ac.uk
- family-names: Johnson
  given-names: Olatunji
- family-names: House
  given-names: Thomas
repository: https://ogunsolaia.r-universe.dev
repository-code: https://github.com/Ogunsolaia/spaci
commit: 6f91cdfb67a2a2144dfeb7b7ac0af4a0232ab1e1
url: https://github.com/Ogunsolaia/spaci
date-released: '2026-10-07'
contact:
- family-names: Ogunsola
  given-names: Isqeel
  email: isqeel.ogunsola@postgrad.manchester.ac.uk