# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "ivgls" in publications use:' type: software license: MIT title: 'ivgls: Network-Aware IV Regression with Graph-Fused Lasso' version: 0.1.0 abstract: Implements network-aware instrumental variable regression for causal node discovery in high-dimensional settings with graph-structured exposures. Provides IVGL and IVGL-S estimators combining graph-Laplacian penalization with IV-based identification, including correction for invalid instruments via a sisVIVE-style update. Methods are described in Pal and Ghosh (2026) . The 'glmgraph' package, required for the main estimators, is available at the additional repository . authors: - family-names: Ghosh given-names: Dhrubajyoti email: dghosh3@kennesaw.edu orcid: https://orcid.org/0000-0002-3360-3786 - family-names: Pal given-names: Samhita email: samhita.pal@vumc.org orcid: https://orcid.org/0009-0001-4930-916X repository: https://cran.r-universe.dev repository-code: https://github.com/djghosh1123/ivgls commit: 93ba35304fe546098eed5031b98fb27d7f7c4e42 url: https://github.com/djghosh1123/ivgls date-released: '2026-06-24' contact: - family-names: Ghosh given-names: Dhrubajyoti email: dghosh3@kennesaw.edu orcid: https://orcid.org/0000-0002-3360-3786