Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks R package ManyIVsNets version 0.1.1 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>. Software 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 Avishek Bhandari <bavisek@gmail.com> Comprehensive R Archive Network (CRAN) Avishek Bhandari [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=ManyIVsNets/LICENSE) 2025-06-23 application/tgz https://CRAN.R-project.org/package=ManyIVsNets doi:10.32614/CRAN.package.ManyIVsNets en-US