Package: ivgls
Type: Package
Title: Network-Aware IV Regression with Graph-Fused Lasso
Version: 0.1.0
Authors@R: c(
    person("Dhrubajyoti", "Ghosh", email = "dghosh3@kennesaw.edu",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3360-3786")),
    person("Samhita", "Pal", email = "samhita.pal@vumc.org",
           role = "aut", comment = c(ORCID = "0009-0001-4930-916X")))
Description: 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) <doi:10.48550/arXiv.2604.24969>. The 'glmgraph'
        package, required for the main estimators, is available at the
        additional repository <https://djghosh1123.r-universe.dev>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, MASS, igraph
Suggests: knitr, glmgraph, rmarkdown, testthat (>= 3.0.0), ggplot2,
        spelling
Additional_repositories: https://djghosh1123.r-universe.dev
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
URL: https://github.com/djghosh1123/ivgls
BugReports: https://github.com/djghosh1123/ivgls/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-24 13:27:49 UTC; root
Author: Dhrubajyoti Ghosh [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-3360-3786>), Samhita Pal [aut]
        (ORCID: <https://orcid.org/0009-0001-4930-916X>)
Maintainer: Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-24 09:30:02 UTC
RemoteUrl: https://github.com/cran/ivgls
RemoteRef: HEAD
RemoteSha: 93ba35304fe546098eed5031b98fb27d7f7c4e42