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  "Package": "cbcTools",
  "Title": "Design and Analyze Choice-Based Conjoint Experiments",
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  "Maintainer": "John Helveston <john.helveston@gmail.com>",
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  "Description": "Design and evaluate choice-based conjoint survey\nexperiments. Generate a variety of survey designs, including\nrandom designs, frequency-based designs, and D-optimal designs,\nas well as \"labeled\" designs (also known as\n\"alternative-specific designs\"), designs with \"no choice\"\noptions, and designs with dominant alternatives removed.\nConveniently inspect and compare designs using a variety of\nmetrics, including design balance, overlap, and D-error, and\nsimulate choice data for a survey design either randomly or\naccording to a utility model defined by user-provided prior\nparameters. Conduct a power analysis for a given survey design\nby estimating the same model on different subsets of the data\nto simulate different sample sizes. Bayesian D-efficient\ndesigns using the 'cea' and 'modfed' methods are obtained using\nthe 'idefix' package by Traets et al (2020)\n<doi:10.18637/jss.v096.i03>. Choice simulation and model\nestimation in power analyses are handled using the 'logitr'\npackage by Helveston (2023) <doi:10.18637/jss.v105.i10>.",
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  "Date/Publication": "2025-11-01 00:49:54 UTC",
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      "title": "Generate survey designs for choice experiments (Updated Implementation)",
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    {
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      "title": "Estimate power analysis for choice experiment designs",
      "topics": [
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    },
    {
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      "title": "Create prior specifications for CBC models",
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      "title": "Print method for cbc_choices objects",
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