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  "Title": "Post-Selection Inference for Adjusted R Squared",
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  "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.",
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-07-04 14:50:02 UTC",
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    "datagen.norm.intercept",
    "equal_tailed_interval",
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    "fit_all_subset_linear_models",
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    "pivot_with_specified_interval",
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    "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"
      ],
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        "compute_ci_with_specified_interval"
      ]
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      "title": "Construct adjusted R squared",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "construct_adj_r_squared"
      ]
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      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
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        "construct_selection_event"
      ]
    },
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      "title": "Construct test statistic",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
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        "construct_test_statistic"
      ]
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      "title": "Equal tailed interval",
      "concept": [
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        "adjusted R squared",
        "post-selection inference"
      ],
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      ]
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      "title": "f",
      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
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        "f"
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      "title": "Find root",
      "concept": [
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        "adjusted R squared",
        "post-selection inference"
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        "model selection",
        "adjusted R squared"
      ],
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        "fit_all_subset_linear_models"
      ]
    },
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      "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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      "concept": [
        "model selection",
        "adjusted R squared",
        "post-selection inference"
      ],
      "topics": [
        "pivot_with_specified_interval"
      ]
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      "title": "Post-selection p-value specified interval",
      "concept": [
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        "adjusted R squared",
        "post-selection inference"
      ],
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        "adjusted R squared",
        "post-selection inference"
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