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  "Package": "PoSIAdjRSquared",
  "Title": "Post-Selection Inference for Adjusted R Squared",
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  "Maintainer": "Sarah Pirenne <sarah.pirenne@kuleuven.be>",
  "Description": "Conduct post-selection inference for regression\ncoefficients in linear models after they have been selected by\nadjusted R squared. The p-values and confidence intervals are\nvalid after model selection with the same data. This allows the\nuser to use all data for both model selection and inference\nwithout losing control over the type I error rate. The provided\ntests are more powerful than data splitting, which bases\ninference on less data since it discards all information used\nfor selection.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Sarah Pirenne [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1787-2035>), Gerda Claeskens [aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-07-04 14:50:02 UTC",
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    "compute_ci_with_specified_interval",
    "construct_adj_r_squared",
    "construct_selection_event",
    "construct_test_statistic",
    "datagen.norm",
    "datagen.norm.intercept",
    "equal_tailed_interval",
    "f",
    "find_root",
    "fit_all_subset_linear_models",
    "fit_specified_size_subset_linear_models",
    "pivot_with_specified_interval",
    "postselp_value_specified_interval",
    "selective_inference",
    "solve_selection_event"
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    {
      "page": "compute_ci_with_specified_interval",
      "title": "Compute post-selection confidence interval with specified interval",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "compute_ci_with_specified_interval"
      ]
    },
    {
      "page": "construct_adj_r_squared",
      "title": "Construct adjusted R squared",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "construct_adj_r_squared"
      ]
    },
    {
      "page": "construct_selection_event",
      "title": "Construct selection event",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "construct_selection_event"
      ]
    },
    {
      "page": "construct_test_statistic",
      "title": "Construct test statistic",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "construct_test_statistic"
      ]
    },
    {
      "page": "datagen.norm",
      "title": "Data generation normal",
      "topics": [
        "datagen.norm"
      ]
    },
    {
      "page": "datagen.norm.intercept",
      "title": "Data generation normal with intercept",
      "topics": [
        "datagen.norm.intercept"
      ]
    },
    {
      "page": "equal_tailed_interval",
      "title": "Equal tailed interval",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
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        "equal_tailed_interval"
      ]
    },
    {
      "page": "f",
      "title": "f",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "f"
      ]
    },
    {
      "page": "find_root",
      "title": "Find root",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
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      ]
    },
    {
      "page": "fit_all_subset_linear_models",
      "title": "Fit all subset linear models",
      "concept": [
        "model selection",
        "adjusted R squared"
      ],
      "topics": [
        "fit_all_subset_linear_models"
      ]
    },
    {
      "page": "fit_specified_size_subset_linear_models",
      "title": "Fit all linear models of a specified size",
      "concept": [
        "model selection",
        "adjusted R squared"
      ],
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        "fit_specified_size_subset_linear_models"
      ]
    },
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      "page": "pivot_with_specified_interval",
      "title": "Pivot with specified interval",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "pivot_with_specified_interval"
      ]
    },
    {
      "page": "postselp_value_specified_interval",
      "title": "Post-selection p-value specified interval",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "postselp_value_specified_interval"
      ]
    },
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      "title": "Selective inference",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
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        "selective_inference"
      ]
    },
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      "page": "solve_selection_event",
      "title": "Solve selection event",
      "concept": [
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        "adjusted R squared",
        "post-selection inference"
      ],
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        "solve_selection_event"
      ]
    }
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