Data-Driven Causal Loop and Feedback Network Analysis R package CausalLoopAnalytics version 1.0.0 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>. Software Depends: R (>= 4.1.0) Imports: stats, graphics Suggests: testthat (>= 3.0.0) Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com> Comprehensive R Archive Network (CRAN) Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=CausalLoopAnalytics/LICENSE) 2026-09-21 application/tgz https://CRAN.R-project.org/package=CausalLoopAnalytics doi:10.32614/CRAN.package.CausalLoopAnalytics