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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "CausalLoopAnalytics" in publications use:'
type: software
license: MIT
title: 'CausalLoopAnalytics: Data-Driven Causal Loop and Feedback Network Analysis'
version: 1.0.0
abstract: 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) <https://doi.org/10.2307/1912791>
  and Efron (1979) <https://doi.org/10.1214/aos/1176344552>.
authors:
- family-names: Obli Rajendran
  given-names: Vinodhkumar
  email: vinodhkumar.rajendran@gmail.com
- family-names: Aaradhana
  given-names: Keerthi
  email: vkeerthi1817@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/vinodhpmd/CausalLoopAnalytics
commit: 51054086302d36277c6f7777ecbfbdfeca7a784b
url: https://github.com/vinodhpmd/CausalLoopAnalytics
date-released: '2026-09-21'
contact:
- family-names: Obli Rajendran
  given-names: Vinodhkumar
  email: vinodhkumar.rajendran@gmail.com