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  "Title": "Keyword Assisted Topic Models",
  "Description": "Fits keyword assisted topic models (keyATM) using\ncollapsed Gibbs samplers. The keyATM combines the latent\ndirichlet allocation (LDA) models with a small number of\nkeywords selected by researchers in order to improve the\ninterpretability and topic classification of the LDA. The\nkeyATM can also incorporate covariates and directly model time\ntrends. The keyATM is proposed in Eshima, Imai, and Sasaki\n(2024) <doi:10.1111/ajps.12779>.",
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  "Date/Publication": "2026-01-17 21:21:04 UTC",
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    "refine_keywords",
    "save_fig",
    "semantic_coherence",
    "top_docs",
    "top_topics",
    "top_words",
    "values_fig",
    "visualize_keywords",
    "weightedLDA"
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      "title": "Bills data",
      "object": "keyATM_data_bills",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
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      "page": "keyATM-package",
      "title": "Keyword Assisted Topic Models",
      "topics": [
        "keyATM-package"
      ]
    },
    {
      "page": "by_strata_DocTopic",
      "title": "Estimate document-topic distribution by strata (for covariate models)",
      "topics": [
        "by_strata_DocTopic"
      ]
    },
    {
      "page": "by_strata_TopicWord",
      "title": "Estimate subsetted topic-word distribution",
      "topics": [
        "by_strata_TopicWord"
      ]
    },
    {
      "page": "covariates_get",
      "title": "Return covariates used in the iteration",
      "topics": [
        "covariates_get"
      ]
    },
    {
      "page": "covariates_info",
      "title": "Show covariates information",
      "topics": [
        "covariates_info"
      ]
    },
    {
      "page": "keyATM",
      "title": "keyATM main function",
      "topics": [
        "keyATM"
      ]
    },
    {
      "page": "keyATM_data_bills",
      "title": "Bills data",
      "topics": [
        "keyATM_data_bills"
      ]
    },
    {
      "page": "keyATM_read",
      "title": "Read texts",
      "topics": [
        "keyATM_read"
      ]
    },
    {
      "page": "keyATMvb",
      "title": "keyATM with Collapsed Variational Bayes",
      "topics": [
        "keyATMvb"
      ]
    },
    {
      "page": "multiPGreg",
      "title": "Run multinomial regression with Polya-Gamma augmentation",
      "topics": [
        "multiPGreg"
      ]
    },
    {
      "page": "plot_alpha",
      "title": "Show a diagnosis plot of alpha",
      "topics": [
        "plot_alpha"
      ]
    },
    {
      "page": "plot_modelfit",
      "title": "Show a diagnosis plot of log-likelihood and perplexity",
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        "plot_modelfit"
      ]
    },
    {
      "page": "plot_pi",
      "title": "Show a diagnosis plot of pi",
      "topics": [
        "plot_pi"
      ]
    },
    {
      "page": "plot_timetrend",
      "title": "Plot time trend",
      "topics": [
        "plot_timetrend"
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    {
      "page": "plot_topicprop",
      "title": "Show the expected proportion of the corpus belonging to each topic",
      "topics": [
        "plot_topicprop"
      ]
    },
    {
      "page": "plot.strata_doctopic",
      "title": "Plot document-topic distribution by strata (for covariate models)",
      "topics": [
        "plot.strata_doctopic"
      ]
    },
    {
      "page": "predict.keyATM_output",
      "title": "Predict topic proportions for the covariate keyATM",
      "topics": [
        "predict.keyATM_output"
      ]
    },
    {
      "page": "read_keywords",
      "title": "Convert a quanteda dictionary to keywords",
      "topics": [
        "read_keywords"
      ]
    },
    {
      "page": "refine_keywords",
      "title": "Refine keywords",
      "topics": [
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      ]
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      "page": "save_fig",
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      "title": "Semantic Coherence: Mimno et al. (2011)",
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      "topics": [
        "top_docs"
      ]
    },
    {
      "page": "top_topics",
      "title": "Show the top topics for each document",
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    },
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      "title": "Show the top words for each topic",
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      ]
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      "page": "visualize_keywords",
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      "topics": [
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      ]
    },
    {
      "page": "weightedLDA",
      "title": "Weighted LDA main function",
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