# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "inferference" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'inferference: Methods for Causal Inference with Interference'
version: 1.0.3
doi: 10.18637/jss.v082.i02
identifiers:
- type: doi
  value: 10.32614/CRAN.package.inferference
abstract: Provides methods for estimating causal effects in the presence of interference
  described in B. Saul and M. Hugdens (2017) <https://doi.org/10.18637/jss.v082.i02>.
  Currently it implements the inverse-probability weighted (IPW) estimators proposed
  by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <https://doi.org/10.1177/0962280210386779>.
authors:
- family-names: Saul
  given-names: Bradley
  email: bradleysaul@fastmail.com
preferred-citation:
  type: article
  title: 'A Recipe for inferference: Start with Causal Inference. Add Interference.
    Mix Well with R.'
  authors:
  - family-names: Saul
    given-names: Bradley C.
    email: saulb@live.unc.edu
  - family-names: Hudgens
    given-names: Michael G.
  journal: Journal of Statistical Software
  year: '2017'
  volume: '82'
  issue: '2'
  doi: 10.18637/jss.v082.i02
  start: '1'
  end: '21'
repository: https://cranhaven.r-universe.dev
commit: 3fedca353c4d1787e477e95fe43a6a71db130016
date-released: '2025-05-14'
contact:
- family-names: Saul
  given-names: Bradley
  email: bradleysaul@fastmail.com