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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 "netmatchRI" in publications use:'
type: software
license: MIT
title: 'netmatchRI: Network-Constrained Matching and Randomization-Based Inference'
version: 0.1.0
abstract: Provides network-constrained matching and randomization-based inference
  for observational network data with dependence and interference. Dual-penalty matching
  minimizes total covariate dissimilarity while enforcing penalties on network proximity
  between and within treatment arms in matched sets. Randomization-based inference
  combines evidence from correlated matched sets based on this design. The package
  also provides covariate-balance and network-distance diagnostics, sensitivity analysis,
  and simulated example data. The open-source 'HiGHS' solver is used by default to
  solve the matching problem. An optional interface to the commercial 'Gurobi Optimizer'
  is available. Eligible academic users can request a free license at <https://www.gurobi.com/academics/>.
  The optimizer can be downloaded from <https://www.gurobi.com/product/download-center>.
  The associated 'gurobi' R package is not available from CRAN; it is distributed
  with the optimizer and can be installed by following the official instructions at
  <https://docs.gurobi.com/projects/optimizer/en/current/reference/r/setup.html>.
authors:
- family-names: Dong
  given-names: Zhejia
  email: zhejia_dong@brown.edu
preferred-citation:
  type: generic
  title: Network-Constrained Matching and Randomization-Based Inference for Causal
    Effects
  authors:
  - family-names: Dong
    given-names: Zhejia
    email: zhejia_dong@brown.edu
  - family-names: Lee
    given-names: Youjin
  year: '2026'
repository: https://cran.r-universe.dev
repository-code: https://github.com/zhejiadong/netmatchRI
commit: 920824778233f386472528a36f6efb601023cf02
url: https://github.com/zhejiadong/netmatchRI
date-released: '2026-10-15'
contact:
- family-names: Dong
  given-names: Zhejia
  email: zhejia_dong@brown.edu