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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 "CORAtool" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'CORAtool: Combinational Regularity Analysis'
version: 0.1.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.CORAtool
abstract: Searches configurational data for causes that are each an insufficient but
  non-redundant part of an unnecessary but sufficient (INUS) condition for their effect,
  so that cause-effect relations are marked by conjunctivity and disjunctivity. The
  method, Combinational Regularity Analysis (CORA), borrows its Boolean minimisation
  algorithms from switching circuit analysis. Truth tables are minimised either with
  the classical Quine-McCluskey algorithm over positive and don't care terms or with
  McCluskey's modified algorithm over positive and negative terms, and the resulting
  prime implicant charts are solved with Petrick's method. Multi-value conditions
  and structures with simple as well as complex effects are supported, together with
  a configurational data-mining search and two-level logic diagrams. The package is
  an R port of the 'Python' packages 'CORA' and 'LOGIGRAM' described in Sebechlebská,
  Mkrtchyan and Thiem (2023) <https://doi.org/10.21105/joss.05019>; it computes in
  plain R and requires no 'Python' installation. It is an independent implementation
  and is not endorsed by the authors of the original packages.
authors:
- family-names: Chan
  given-names: Young
  email: youngchanresearcher@gmail.com
preferred-citation:
  type: manual
  title: 'CORAtool: Combinational Regularity Analysis'
  authors:
  - family-names: Chan
    given-names: Young
    email: youngchanresearcher@gmail.com
  year: '2026'
  notes: R package version 0.1.2
  url: https://github.com/youngchanresearcher/CORAtool
repository: https://youngchanresearcher.r-universe.dev
repository-code: https://github.com/youngchanresearcher/CORAtool
commit: 43a9d056e83d0c01356a8cab345bab3d87ba6733
url: https://github.com/youngchanresearcher/CORAtool
date-released: '2026-09-25'
contact:
- family-names: Chan
  given-names: Young
  email: youngchanresearcher@gmail.com
references:
- type: article
  title: Combinational Regularity Analysis (CORA) - a new method for uncovering complex
    causation in medical and health research
  authors:
  - family-names: Thiem
    given-names: Alrik
  - family-names: Mkrtchyan
    given-names: Lusine
  - family-names: Sebechlebská
    given-names: Zuzana
  journal: BMC Medical Research Methodology
  year: '2022'
  volume: '22'
  issue: '1'
  doi: 10.1186/s12874-022-01800-9
  start: '333'
- type: article
  title: 'CORA and LOGIGRAM: A duo of Python packages for Combinational Regularity
    Analysis (CORA)'
  authors:
  - family-names: Sebechlebská
    given-names: Zuzana
  - family-names: Mkrtchyan
    given-names: Lusine
  - family-names: Thiem
    given-names: Alrik
  journal: Journal of Open Source Software
  year: '2023'
  volume: '8'
  issue: '85'
  doi: 10.21105/joss.05019
  start: '5019'