The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ManyIVsNets: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks

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:

Reference manual: ManyIVsNets.pdf
Vignettes: Creating Multidimensional Instruments (source)
Introduction to ManyIVsNets (source)
Network Analysis and Visualization (source)
Transfer Entropy Analysis and Causal Discovery (source)

Downloads:

Package source: ManyIVsNets_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ManyIVsNets_0.1.1.tgz, r-oldrel (arm64): ManyIVsNets_0.1.1.tgz, r-release (x86_64): ManyIVsNets_0.1.1.tgz, r-oldrel (x86_64): ManyIVsNets_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ManyIVsNets to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.