CausalLoopAnalytics: Data-Driven Causal Loop and Feedback Network Analysis

Provides tools for constructing signed causal-loop models, discovering directed causal relationships from time-series data using Granger-style tests, identifying and classifying reinforcing and balancing feedback loops, quantifying loop strength, assessing loop stability by bootstrap resampling, calculating network centrality and leverage-point scores, comparing causal-loop models, and producing publication-ready base R visualizations and summaries. The package is domain-agnostic and can be used in human medicine, veterinary medicine, agriculture, epidemiology, ecology, public health, and One Health. Methods are based on Granger (1969) <doi:10.2307/1912791> and Efron (1979) <doi:10.1214/aos/1176344552>.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	stats, graphics
Suggests:	testthat (≥ 3.0.0)
Published:	2026-09-21
DOI:	10.32614/CRAN.package.CausalLoopAnalytics (may not be active yet)
Author:	Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer:	Vinodhkumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports:	https://github.com/vinodhpmd/CausalLoopAnalytics/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/CausalLoopAnalytics
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	CausalLoopAnalytics results

Documentation:

Reference manual:

CausalLoopAnalytics.html , CausalLoopAnalytics.pdf

Downloads:

Package source:	CausalLoopAnalytics_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): CausalLoopAnalytics_1.0.0.tgz, r-release (x86_64): CausalLoopAnalytics_1.0.0.tgz, r-oldrel (x86_64): CausalLoopAnalytics_1.0.0.tgz

Linking:

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