Package: CausalLoopAnalytics Type: Package Title: Data-Driven Causal Loop and Feedback Network Analysis Version: 1.0.0 Authors@R: c( person("Vinodhkumar", "Obli Rajendran", email = "vinodhkumar.rajendran@gmail.com", role = c("aut", "cre")), person("Keerthi", "Aaradhana", email = "vkeerthi1817@gmail.com", role = "aut") ) Description: 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) and Efron (1979) . License: MIT + file LICENSE Encoding: UTF-8 Depends: R (>= 4.1.0) Imports: stats, graphics Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 URL: https://github.com/vinodhpmd/CausalLoopAnalytics BugReports: https://github.com/vinodhpmd/CausalLoopAnalytics/issues Config/roxygen2/version: 8.1.0 NeedsCompilation: no Packaged: 2026-09-22 00:19:31 UTC; root Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut] Maintainer: Vinodhkumar Obli Rajendran Repository: https://cran.r-universe.dev Date/Publication: 2026-09-21 23:22:50 UTC RemoteUrl: https://github.com/cran/CausalLoopAnalytics RemoteRef: HEAD RemoteSha: 51054086302d36277c6f7777ecbfbdfeca7a784b