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ManyIVsNets

0.1.1

Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks

0packages depend
2.1Kdownloads / year
53.2%test coverage
13/13checks pass

Overview

About
Maintained by Avishek BhandariFirst published 2025-06-231 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.17
53.2%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 147 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.1K
CRAN downloads in the past year
Rank #20,086 · ~6/day · ~175/mo
Daily download trend is not available in this view yet.
14630 days
55290 days
2.1K1 year
Compare downloads with other packages →
Also on103 r2u4 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2025-06-18

Repository practices

Upstream repositoryBeta

Checks run against github.com/avishekb9/manyivsnets on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-06-23
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
9.2 KB / 1 file
Download size
236 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ManyIVsNets")
Bhandari, A. (2025). ManyIVsNets: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ManyIVsNets

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ManyIVsNets version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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