Comprehensive toolkit for Environmental Phillips Curve analysis featuring multidimensional instrumental variable creation, transfer entropy causal discovery, network analysis, and state-of-the-art econometric methods. Implements geographic, technological, migration, geopolitical, financial, and natural risk instruments with robust diagnostics and visualization. Provides 24 different instrumental variable approaches with empirical validation. Methods based on Phillips (1958) <doi:10.1111/j.1468-0335.1958.tb00003.x>, transfer entropy by Schreiber (2000) <doi:10.1103/PhysRevLett.85.461>, and weak instrument tests by Stock and Yogo (2005) <doi:10.1017/CBO9780511614491.006>.
Version: 0.1.1 Depends: R (≥ 4.0.0) Imports: dplyr, readr, igraph, ggplot2, ggraph, AER, lmtest, sandwich, magrittr Suggests: testthat (≥ 3.0.0), rmarkdown, pkgdown, knitr, RTransferEntropy, tidyr, viridis, countrycode, spelling Published: 2025-06-23 DOI: 10.32614/CRAN.package.ManyIVsNets Author: Avishek Bhandari [aut, cre, cph] Maintainer: Avishek Bhandari <bavisek at gmail.com> BugReports: https://github.com/avishekb9/ManyIVsNets/issues License: MIT + file LICENSE URL: https://github.com/avishekb9/ManyIVsNets, https://avishekb9.github.io/ManyIVsNets/ NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: ManyIVsNets results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ManyIVsNets to link to this page.
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