{
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  "Title": "Multivariate Ordinal Regression Models",
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  "Description": "A flexible framework for fitting multivariate ordinal\nregression models with composite likelihood methods.\nMethodological details are given in Hirk, Hornik, Vana (2020)\n<doi:10.18637/jss.v093.i04>.",
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    "mvord",
    "mvord.control",
    "mvprobit",
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    "thresholds"
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      "table": true,
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        "rating",
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      "tojson": true
    },
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      "table": true,
      "tojson": true
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      "title": "Multivariate Ordinal Regression Models in R.",
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      ]
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      "title": "Coefficients of Multivariate Ordinal Regression Models.",
      "topics": [
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      ]
    },
    {
      "page": "constraints",
      "title": "Constraints on the Regression Coefficients of Multivariate Ordinal Regression Models.",
      "topics": [
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        "constraints.mvord"
      ]
    },
    {
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      "title": "Simulated credit ratings",
      "topics": [
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      ]
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    {
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      "title": "Simulated panel of credit ratings",
      "topics": [
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      ]
    },
    {
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      "title": "Simulated credit ratings",
      "topics": [
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      ]
    },
    {
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      "title": "Simulated panel of credit ratings",
      "topics": [
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      "topics": [
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    {
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      "title": "Simulated credit ratings",
      "topics": [
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    {
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      "title": "Error Structures in mvord",
      "topics": [
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        "cor_equi",
        "cor_general",
        "cov_general",
        "error_struct"
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    },
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      "title": "Extracts Error Structure of Multivariate Ordinal Regression Models.",
      "topics": [
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        "error_structure.mvord"
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    {
      "page": "essay_data",
      "title": "Essay data",
      "topics": [
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      "title": "Fitted Probabilities of Multivariate Ordinal Regression Models.",
      "topics": [
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    {
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      "title": "Fitted probabilities for multivariate ordinal regression models for given response categories.",
      "topics": [
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    },
    {
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      "title": "Pairwise Log-Likelihood of Multivariate Ordinal Regression Models.",
      "topics": [
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      "title": "Marginal Predictions for Multivariate Ordinal Regression Models.",
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      "title": "model.matrix of Multivariate Ordinal Regression Models.",
      "topics": [
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    },
    {
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      "title": "Multivariate link functions in mvord",
      "topics": [
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        "mvlogit",
        "mvprobit"
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    },
    {
      "page": "mvord",
      "title": "Multivariate Ordinal Regression Models.",
      "topics": [
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      ]
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    {
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      "title": "Control functions for mvord()",
      "topics": [
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    },
    {
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      "title": "Names of regression coefficient constraints in mvord",
      "topics": [
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    },
    {
      "page": "nobs.mvord",
      "title": "nobs of Multivariate Ordinal Regression Models.",
      "topics": [
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    {
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      "title": "Computes polychoric correlations",
      "topics": [
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    {
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      "title": "Predict method for Multivariate Ordinal Regression Models.",
      "topics": [
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    },
    {
      "page": "print.error_struct",
      "title": "Print Method for class error_struc.",
      "topics": [
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    {
      "page": "print.mvord",
      "title": "Print Method for Multivariate Ordinal Regression Models.",
      "topics": [
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    {
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      "title": "Pseudo R^2 for objects of class 'mvord'",
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      "title": "Summary method for Multivariate Ordinal Regression Models.",
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      "title": "terms of Multivariate Ordinal Regression Models.",
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      "title": "Thresholds of Multivariate Ordinal Regression Models.",
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        "thresholds.mvord"
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      "title": "vcov of Multivariate Ordinal Regression Models.",
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      "title": "mvord: Additional examples",
      "author": "Rainer Hirk, Kurt Hornik and Laura Vana",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Example 1 - A simple example with 2 raters",
        "Example 2 - A simple example with 3 raters",
        "Example 3a - A model of firm ratings assigned by multiple raters and an investment-speculative grade indicator",
        "Example 3b - A more elaborate model of ratings assigned by multiple raters",
        "Example 4 - A longitudinal model",
        "Example 5 - Self-reported health status",
        "Example 6 - Multirater agreement data",
        "References"
      ],
      "created": "2022-02-20 23:18:00",
      "modified": "2025-06-02 13:23:42",
      "commits": 4
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      "filename": "vignette_mvord.pdf",
      "title": "mvord: An R Package for Fitting Multivariate Ordinal Regression Models",
      "engine": "utils::Sweave",
      "headings": [
        "Introduction",
        "Model class and estimation",
        "Implementation",
        "Examples",
        "Conclusion"
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      "modified": "2024-08-30 09:21:54",
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