Coincidence Analysis (CNA)

Coincidence Analysis (CNA) is a configurational comparative method (CCM) of causal inference and data analysis that is custom-built for multi-outcome structures.


This page begins to collect relevant literature on CNA and will inform about new developments, seminars, workshops etc.




Software

Base package cna

The cna package provides all the base functionalities required to analyze data by means of CNA.

  • On 06/14/2021, version 3.2.0 of the cna R-package has been released on CRAN.
  • On 05/28/2021, version 3.1.0 of the cna R-package has been released on CRAN.
  • On 11/06/2020, update 3.0.1 has been released on CRAN.
  • On 09/13/2020, version 3.0.0 of the cna R-package has been released on CRAN.
  • On 05/20/2020, update 2.2.3 has been released on CRAN.
  • On 06/12/2019, update 2.2.2 has been released on CRAN.
  • On 08/09/2019, update 2.2.1 has been released on CRAN.
  • On 04/13/2019, update 2.2.0 has been released on CRAN.
  • On 06/13/2018, update 2.1.1 has been released on CRAN.
  • On 06/01/2018, version 2.1.0 of the cna R-package has been released on CRAN.

Add-on package cnaOpt

The cnaOpt package provides various functions for optimizing consistency and coverage scores of models of configurational comparative methods as CNA and QCA.

  • On 09/14/2020, update 0.2.0 has been released on CRAN.
  • On 09/12/2019, update 0.1.1 has been released on CRAN.
  • On 21/10/2019, version 0.1.0 of the cnaOpt R-package has been released on CRAN.

Add-on package frscore

The frscore package provides functions for calculating the robustness of CNA/CCM models.

  • On 07/22/2021, version 0.1.0 of the frscore R-package has been released on CRAN.


Literature

Methodological

The details of the most recent version of CNA, which is implemented in the cna package, are described here:

This paper provides a theoretical introduction the functions of the cnaOpt package:

This paper introduces the robustness measure implemented in the frscore package:

Older CNA versions are introduced/discussed here:

Applied