# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "BayesAiken" in publications use:' type: software license: MIT title: 'BayesAiken: Bayesian Content Validity Coefficients with Credibility Intervals' version: 2.0.0 abstract: 'Bayesian inference for the six rating coefficients proposed by Aiken (1985) and Aiken (1989) : V (content validity), H (homogeneity), C (congruence), R (repeatability), A (rater agreement) and I (item coherence). All six are expressed as functionals of the population distribution of rating categories, so a single Dirichlet-Multinomial model yields their full posterior by push-forward. This treats each judge as one categorical observation and avoids the pseudo-replication of Beta-Binomial formulations. R is modelled on the c-by-c joint table because it is not a functional of the marginal distribution. Provides classical estimates with the correct parity correction, highest density and equal-tailed credibility intervals, posterior threshold probabilities, prior sensitivity analysis and a friendly step-by-step verbose report.' authors: - family-names: Ventura-Leon given-names: Jose email: jventuraleon@gmail.com orcid: https://orcid.org/0000-0003-2996-4244 repository: https://cran.r-universe.dev repository-code: https://github.com/jventural/BayesAiken commit: 0fc3c039f87d9c005a85499c0e615e8755562afa url: https://github.com/jventural/BayesAiken date-released: '2026-09-24' contact: - family-names: Ventura-Leon given-names: Jose email: jventuraleon@gmail.com orcid: https://orcid.org/0000-0003-2996-4244