https://atal-kat.r-universe.devRecent package updates in atal-katR-universehttps://github.com/atal-kat.pnghttps://atal-kat.r-universe.devWed, 24 Jun 2026 15:41:25 GMTatalkatawazi@hotmail.com (Atal Katawazi)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) <doi: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.https://github.com/r-universe/atal-kat/actions/runs/28505465773Wed, 24 Jun 2026 15:41:25 GMTclusterIV0.1.0successhttps://atal-kat.r-universe.devhttps://github.com/atal-kat/clustered-estimation-and-inference