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  "Package": "BayesAiken",
  "Type": "Package",
  "Title": "Bayesian Content Validity Coefficients with Credibility\nIntervals",
  "Version": "2.0.0",
  "Date": "2026-09-24",
  "Authors@R": "person(\"Jose\", \"Ventura-Leon\",\nemail = \"jventuraleon@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2996-4244\"))",
  "Description": "Bayesian inference for the six rating coefficients\nproposed by Aiken (1985) <doi:10.1177/0013164485451012> and\nAiken (1989) <doi:10.1177/0013164489492003>: V (content\nvalidity), H (homogeneity), C (congruence), R (repeatability),\nA (rater agreement) and I (item coherence). All six are\nexpressed as functionals of the population distribution of\nrating categories, so a single Dirichlet-Multinomial model\nyields their full posterior by push-forward. This treats each\njudge as one categorical observation and avoids the\npseudo-replication of Beta-Binomial formulations. R is modelled\non the c-by-c joint table because it is not a functional of the\nmarginal distribution. Provides classical estimates with the\ncorrect parity correction, highest density and equal-tailed\ncredibility intervals, posterior threshold probabilities, prior\nsensitivity analysis and a friendly step-by-step verbose\nreport.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/jventural/BayesAiken",
  "BugReports": "https://github.com/jventural/BayesAiken/issues",
  "Repository": "https://jventural.r-universe.dev",
  "Date/Publication": "2026-09-24 16:56:53 UTC",
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  "Author": "Jose Ventura-Leon [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2996-4244>)",
  "Maintainer": "Jose Ventura-Leon <jventuraleon@gmail.com>",
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  "_created": "2026-10-29T17:27:57.000Z",
  "_published": "2026-10-29T17:54:44.042Z",
  "_upstream": "https://github.com/jventural/bayesaiken",
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  "_exports": [
    "aiken_A_classic",
    "aiken_apa",
    "aiken_bayes",
    "aiken_bayes_table",
    "aiken_C_classic",
    "aiken_H_classic",
    "aiken_I_classic",
    "aiken_R_classic",
    "aiken_test",
    "aiken_V_classic",
    "aiken_V_ic_pg",
    "bayes_aiken",
    "bayes_aiken_capture",
    "bayes_aiken_export",
    "check_judge_heterogeneity",
    "coef_A",
    "coef_A_multi",
    "coef_C",
    "coef_C_multi",
    "coef_H",
    "coef_H_multi",
    "coef_I",
    "coef_I_multi",
    "coef_R",
    "coef_R_multi",
    "coef_V",
    "coef_V_dirichlet",
    "coef_V_dirichlet_multi",
    "coef_V_multi",
    "compare_items",
    "compare_judge_groups",
    "compare_priors",
    "compare_V_models",
    "compute_hdi",
    "decision_rule",
    "decision_rule_multi",
    "detect_judge_cols",
    "export_to_csv",
    "export_to_txt",
    "extract_results",
    "fmt_apa",
    "plot_all_coefficients",
    "plot_comparison",
    "plot_multiple_posteriors",
    "plot_posterior",
    "plot_V_beta_binomial",
    "plot_V_dirichlet",
    "print_apa",
    "recommend_model",
    "rope_analysis",
    "run_aiken_app",
    "sample_size_planning",
    "sensitivity_analysis",
    "simulate_judges_planning",
    "summary_table"
  ],
  "_help": [
    {
      "page": "aiken_apa",
      "title": "Tabla de resultados en formato APA compacto",
      "topics": [
        "aiken_apa"
      ]
    },
    {
      "page": "aiken_bayes",
      "title": "Coeficientes de Aiken bayesianos por el modelo Dirichlet-Multinomial",
      "topics": [
        "aiken_bayes"
      ]
    },
    {
      "page": "aiken_bayes_table",
      "title": "Analisis bayesiano completo de una tabla de calificaciones de jueces",
      "topics": [
        "aiken_bayes_table"
      ]
    },
    {
      "page": "aiken_classic",
      "title": "Coeficientes clasicos de Aiken",
      "topics": [
        "aiken_A_classic",
        "aiken_classic",
        "aiken_C_classic",
        "aiken_H_classic",
        "aiken_I_classic",
        "aiken_R_classic",
        "aiken_V_classic"
      ]
    },
    {
      "page": "aiken_test",
      "title": "Prueba de significacion de Aiken (1985) para V, R y H",
      "topics": [
        "aiken_test"
      ]
    },
    {
      "page": "aiken_V_ic_pg",
      "title": "Intervalo de puntuacion de Penfield-Giacobbi para la V (frecuentista)",
      "topics": [
        "aiken_V_ic_pg"
      ]
    },
    {
      "page": "as.data.frame.aiken_table",
      "title": "Convertir un aiken_table a data.frame",
      "topics": [
        "as.data.frame.aiken_table"
      ]
    },
    {
      "page": "as.data.frame.bayes_coef",
      "title": "Convertir bayes_coef a data.frame",
      "topics": [
        "as.data.frame.bayes_coef"
      ]
    },
    {
      "page": "as.data.frame.bayes_simulation",
      "title": "Convertir resultados de simulacion a data.frame (formato Tabla 3)",
      "topics": [
        "as.data.frame.bayes_simulation"
      ]
    },
    {
      "page": "bayes_aiken",
      "title": "============================================================================= BAYES AIKEN - FUNCION PRINCIPAL Calcula todos los coeficientes de validez de contenido con enfoque bayesiano",
      "topics": [
        "bayes_aiken"
      ]
    },
    {
      "page": "bayes_aiken_capture",
      "title": "============================================================================= FUNCIONES DE EXPORTACION Y CAPTURA - BayesAiken ============================================================================= Capturar salida verbose de bayes_aiken",
      "topics": [
        "bayes_aiken_capture"
      ]
    },
    {
      "page": "bayes_aiken_export",
      "title": "Exportar resultados de bayes_aiken",
      "topics": [
        "bayes_aiken_export"
      ]
    },
    {
      "page": "check_judge_heterogeneity",
      "title": "============================================================================= UTILIDADES Y HELPERS - BayesAiken ============================================================================= Diagnostico de heterogeneidad entre jueces",
      "topics": [
        "check_judge_heterogeneity"
      ]
    },
    {
      "page": "coef_A",
      "title": "Calcular Coeficiente A (Acuerdo del Juez) con intervalos bayesianos",
      "topics": [
        "coef_A"
      ]
    },
    {
      "page": "coef_A_multi",
      "title": "Calcular A para multiples jueces",
      "topics": [
        "coef_A_multi"
      ]
    },
    {
      "page": "coef_C",
      "title": "Calcular Coeficiente C (Consenso) con intervalos bayesianos",
      "topics": [
        "coef_C"
      ]
    },
    {
      "page": "coef_C_multi",
      "title": "Calcular C para multiples items",
      "topics": [
        "coef_C_multi"
      ]
    },
    {
      "page": "coef_H",
      "title": "Calcular Coeficiente H (Homogeneidad) con intervalos bayesianos",
      "topics": [
        "coef_H"
      ]
    },
    {
      "page": "coef_H_multi",
      "title": "Calcular H para multiples items",
      "topics": [
        "coef_H_multi"
      ]
    },
    {
      "page": "coef_I",
      "title": "Calcular Coeficiente I (Consistencia Inter-Item) con intervalos bayesianos",
      "topics": [
        "coef_I"
      ]
    },
    {
      "page": "coef_I_multi",
      "title": "Calcular I para todos los pares de items",
      "topics": [
        "coef_I_multi"
      ]
    },
    {
      "page": "coef_R",
      "title": "Calcular Coeficiente R (Reproducibilidad) con intervalos bayesianos",
      "topics": [
        "coef_R"
      ]
    },
    {
      "page": "coef_R_multi",
      "title": "Calcular R para multiples items (requiere datos en formato especial)",
      "topics": [
        "coef_R_multi"
      ]
    },
    {
      "page": "coef_V",
      "title": "============================================================================= COEFICIENTES DE VALIDEZ DE CONTENIDO - FUNCIONES MODULARES Cada coeficiente puede usarse de forma independiente ============================================================================= Calcular Coeficiente V de Aiken con intervalos bayesianos",
      "topics": [
        "coef_V"
      ]
    },
    {
      "page": "coef_V_dirichlet",
      "title": "Calcular Coeficiente V de Aiken con modelo Dirichlet-Multinomial",
      "topics": [
        "coef_V_dirichlet"
      ]
    },
    {
      "page": "coef_V_dirichlet_multi",
      "title": "Calcular V de Aiken Dirichlet para multiples items",
      "topics": [
        "coef_V_dirichlet_multi"
      ]
    },
    {
      "page": "coef_V_multi",
      "title": "Calcular V de Aiken para multiples items",
      "topics": [
        "coef_V_multi"
      ]
    },
    {
      "page": "compare_items",
      "title": "Comparar dos items usando diferencias posteriores",
      "topics": [
        "compare_items"
      ]
    },
    {
      "page": "compare_judge_groups",
      "title": "Comparar grupos de jueces",
      "topics": [
        "compare_judge_groups"
      ]
    },
    {
      "page": "compare_priors",
      "title": "Comparar diferentes priors",
      "topics": [
        "compare_priors"
      ]
    },
    {
      "page": "compare_V_models",
      "title": "Comparar modelos Beta-Binomial vs Dirichlet-Multinomial",
      "topics": [
        "compare_V_models"
      ]
    },
    {
      "page": "compute_hdi",
      "title": "Calcular HDI (Highest Density Interval)",
      "topics": [
        "compute_hdi"
      ]
    },
    {
      "page": "decision_rule",
      "title": "============================================================================= FUNCIONES AVANZADAS - BayesAiken Analisis bayesianos avanzados para validez de contenido",
      "topics": [
        "decision_rule"
      ]
    },
    {
      "page": "decision_rule_multi",
      "title": "Aplicar regla de decision a multiples items",
      "topics": [
        "decision_rule_multi"
      ]
    },
    {
      "page": "detect_judge_cols",
      "title": "Detectar las columnas de jueces en un data.frame",
      "topics": [
        "detect_judge_cols"
      ]
    },
    {
      "page": "export_to_csv",
      "title": "Exportar a archivo CSV",
      "topics": [
        "export_to_csv"
      ]
    },
    {
      "page": "export_to_txt",
      "title": "Exportar a archivo de texto",
      "topics": [
        "export_to_txt"
      ]
    },
    {
      "page": "extract_results",
      "title": "Extraer resultados en formato data.frame",
      "topics": [
        "extract_results"
      ]
    },
    {
      "page": "fmt_apa",
      "title": "Formatear un numero acotado en 0-1 al estilo APA",
      "topics": [
        "fmt_apa"
      ]
    },
    {
      "page": "plot_all_coefficients",
      "title": "Graficar todos los coeficientes",
      "topics": [
        "plot_all_coefficients"
      ]
    },
    {
      "page": "plot_comparison",
      "title": "Grafico de comparacion de items",
      "topics": [
        "plot_comparison"
      ]
    },
    {
      "page": "plot_multiple_posteriors",
      "title": "Graficar multiples items en un panel",
      "topics": [
        "plot_multiple_posteriors"
      ]
    },
    {
      "page": "plot_posterior",
      "title": "Graficar distribucion posterior",
      "topics": [
        "plot_posterior"
      ]
    },
    {
      "page": "plot_V_beta_binomial",
      "title": "Graficar densidad posterior del modelo Beta-Binomial",
      "topics": [
        "plot_V_beta_binomial"
      ]
    },
    {
      "page": "plot_V_dirichlet",
      "title": "Graficar densidad posterior del modelo Dirichlet-Multinomial",
      "topics": [
        "plot_V_dirichlet"
      ]
    },
    {
      "page": "plot.aiken_bayes",
      "title": "Grafico de la posterior de un coeficiente de Aiken",
      "topics": [
        "plot.aiken_bayes"
      ]
    },
    {
      "page": "plot.bayes_aiken",
      "title": "============================================================================= FUNCIONES DE VISUALIZACION - BayesAiken ============================================================================= Plot del objeto bayes_aiken",
      "topics": [
        "plot.bayes_aiken"
      ]
    },
    {
      "page": "plot.bayes_comparison",
      "title": "Plot de comparacion de items",
      "topics": [
        "plot.bayes_comparison"
      ]
    },
    {
      "page": "plot.bayes_rope",
      "title": "Plot del analisis ROPE",
      "topics": [
        "plot.bayes_rope"
      ]
    },
    {
      "page": "plot.bayes_sample_plan",
      "title": "Plot del planeamiento de muestra",
      "topics": [
        "plot.bayes_sample_plan"
      ]
    },
    {
      "page": "plot.bayes_simulation",
      "title": "Grafico de resultados de simulacion",
      "topics": [
        "plot.bayes_simulation"
      ]
    },
    {
      "page": "plot.sensitivity_analysis",
      "title": "Grafico del analisis de sensibilidad",
      "topics": [
        "plot.sensitivity_analysis"
      ]
    },
    {
      "page": "print_apa",
      "title": "Imprimir la tabla APA en consola",
      "topics": [
        "print_apa"
      ]
    },
    {
      "page": "print.aiken_bayes",
      "title": "Imprimir un objeto aiken_bayes",
      "topics": [
        "print.aiken_bayes"
      ]
    },
    {
      "page": "print.aiken_table",
      "title": "Imprimir un objeto aiken_table",
      "topics": [
        "print.aiken_table"
      ]
    },
    {
      "page": "print.bayes_aiken",
      "title": "Print method for bayes_aiken objects",
      "topics": [
        "print.bayes_aiken"
      ]
    },
    {
      "page": "print.bayes_coef",
      "title": "Print method for bayes_coef objects",
      "topics": [
        "print.bayes_coef"
      ]
    },
    {
      "page": "print.bayes_simulation",
      "title": "Imprimir resultados de simulacion",
      "topics": [
        "print.bayes_simulation"
      ]
    },
    {
      "page": "print.judge_heterogeneity",
      "title": "Imprimir diagnostico de heterogeneidad",
      "topics": [
        "print.judge_heterogeneity"
      ]
    },
    {
      "page": "print.sensitivity_analysis",
      "title": "Imprimir analisis de sensibilidad",
      "topics": [
        "print.sensitivity_analysis"
      ]
    },
    {
      "page": "recommend_model",
      "title": "Recomendar modelo para V de Aiken",
      "topics": [
        "recommend_model"
      ]
    },
    {
      "page": "rope_analysis",
      "title": "Analisis ROPE para equivalencia practica",
      "topics": [
        "rope_analysis"
      ]
    },
    {
      "page": "run_aiken_app",
      "title": "Abrir la aplicacion AikenBayes",
      "topics": [
        "run_aiken_app"
      ]
    },
    {
      "page": "sample_size_planning",
      "title": "Planear numero de jueces usando posterior predictivo",
      "topics": [
        "sample_size_planning"
      ]
    },
    {
      "page": "sensitivity_analysis",
      "title": "Analisis de sensibilidad completo",
      "topics": [
        "sensitivity_analysis"
      ]
    },
    {
      "page": "simulate_judges_planning",
      "title": "Simulacion para planificacion del numero de jueces",
      "topics": [
        "simulate_judges_planning"
      ]
    },
    {
      "page": "summary_table",
      "title": "Crear tabla resumen formateada",
      "topics": [
        "summary_table"
      ]
    },
    {
      "page": "summary.aiken_bayes",
      "title": "Resumen de un objeto aiken_bayes",
      "topics": [
        "summary.aiken_bayes"
      ]
    },
    {
      "page": "summary.bayes_aiken",
      "title": "Summary method for bayes_aiken objects",
      "topics": [
        "summary.bayes_aiken"
      ]
    }
  ],
  "_readme": "https://github.com/jventural/bayesaiken/raw/HEAD/README.md",
  "_rundeps": [],
  "_score": 3,
  "_indexed": true,
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