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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 "clusterIV" in publications use:'
type: software
license: MIT
title: 'clusterIV: Clustered Jackknife Instrumental Variables Estimation'
version: 0.1.0
abstract: 'Tools for instrumental variables estimation and inference under clustered
  errors with many instruments. The current release provides the cluster-jackknife
  IV estimator (CJIVE) of Frandsen, Leslie and McIntyre (2025) <https://doi.org/10.1162/rest.a.263>
  for a single endogenous regressor in a just-identified design, with cluster-robust
  inference: each observation''s first-stage value is fitted leaving out its entire
  cluster, which removes the many-instrument bias that survives clustering. The leave-cluster-out
  fits use an exact Woodbury block update -- one factorisation of the instrument Gram
  matrix plus a small solve per cluster -- so the estimator scales to large samples.
  A companion ''iv_compare()'' reports ordinary least squares, two-stage least squares,
  the observation-level jackknife and CJIVE on a common cluster-robust standard error.'
authors:
- family-names: Katawazi
  given-names: Atal
  email: atalkatawazi@hotmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/atal-kat/Clustered-Estimation-and-Inference
commit: 40ae3479873cfec4b6201ce3be58e44fb7eca030
url: https://github.com/atal-kat/Clustered-Estimation-and-Inference
date-released: '2026-06-30'
contact:
- family-names: Katawazi
  given-names: Atal
  email: atalkatawazi@hotmail.com