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  "Title": "The Scalable Highly Adaptive Lasso",
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  "Description": "A scalable implementation of the highly adaptive lasso\nalgorithm, including routines for constructing sparse matrices\nof basis functions of the observed data, as well as a custom\nimplementation of Lasso regression tailored to enhance\nefficiency when the matrix of predictors is composed\nexclusively of indicator functions. For ease of use and\nincreased flexibility, the Lasso fitting routines invoke code\nfrom the 'glmnet' package by default. The highly adaptive lasso\nwas first formulated and described by MJ van der Laan (2017)\n<doi:10.1515/ijb-2015-0097>, with practical demonstrations of\nits performance given by Benkeser and van der Laan (2016)\n<doi:10.1109/DSAA.2016.93>. This implementation of the highly\nadaptive lasso algorithm was described by Hejazi, Coyle, and\nvan der Laan (2020) <doi:10.21105/joss.02526>.",
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    "formula_hal",
    "h",
    "make_copy_map",
    "make_design_matrix",
    "make_reduced_basis_map",
    "SL.hal9001",
    "squash_hal_fit"
  ],
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    {
      "name": "hal_quotes",
      "title": "HAL9000 Quotes from \"2001: A Space Odyssey\"",
      "object": "hal_quotes",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
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      "page": "plus-.formula_hal9001",
      "title": "HAL Formula addition: Adding formula term object together into a single formula object term.",
      "topics": [
        "+.formula_hal9001"
      ]
    },
    {
      "page": "apply_copy_map",
      "title": "Apply copy map",
      "topics": [
        "apply_copy_map"
      ]
    },
    {
      "page": "as_dgCMatrix",
      "title": "Fast Coercion to Sparse Matrix",
      "topics": [
        "as_dgCMatrix"
      ]
    },
    {
      "page": "basis_list_cols",
      "title": "List Basis Functions",
      "topics": [
        "basis_list_cols"
      ]
    },
    {
      "page": "basis_of_degree",
      "title": "Compute Degree of Basis Functions",
      "topics": [
        "basis_of_degree"
      ]
    },
    {
      "page": "enumerate_basis",
      "title": "Enumerate Basis Functions",
      "topics": [
        "enumerate_basis"
      ]
    },
    {
      "page": "evaluate_basis",
      "title": "Generate Basis Functions",
      "topics": [
        "evaluate_basis"
      ]
    },
    {
      "page": "formula_helpers",
      "title": "Formula Helpers",
      "topics": [
        "fill_dots"
      ]
    },
    {
      "page": "fit_hal",
      "title": "HAL: The Highly Adaptive Lasso",
      "topics": [
        "fit_hal"
      ]
    },
    {
      "page": "formula_hal",
      "title": "HAL Formula: Convert formula or string to 'formula_HAL' object.",
      "topics": [
        "formula_hal"
      ]
    },
    {
      "page": "h",
      "title": "HAL Formula term: Generate a single term of the HAL basis",
      "topics": [
        "h"
      ]
    },
    {
      "page": "hal_quotes",
      "title": "HAL9000 Quotes from \"2001: A Space Odyssey\"",
      "topics": [
        "hal_quotes"
      ]
    },
    {
      "page": "hal9000",
      "title": "HAL 9000 Quotes",
      "topics": [
        "hal9000"
      ]
    },
    {
      "page": "hal9001",
      "title": "hal9001",
      "topics": [
        "hal9001"
      ]
    },
    {
      "page": "index_first_copy",
      "title": "Find Copies of Columns",
      "topics": [
        "index_first_copy"
      ]
    },
    {
      "page": "make_basis_list",
      "title": "Sort Basis Functions",
      "topics": [
        "make_basis_list"
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    },
    {
      "page": "make_copy_map",
      "title": "Build Copy Maps",
      "topics": [
        "make_copy_map"
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    },
    {
      "page": "make_design_matrix",
      "title": "Build HAL Design Matrix",
      "topics": [
        "make_design_matrix"
      ]
    },
    {
      "page": "make_reduced_basis_map",
      "title": "Mass-based reduction of basis functions",
      "topics": [
        "make_reduced_basis_map"
      ]
    },
    {
      "page": "meets_basis",
      "title": "Compute Values of Basis Functions",
      "topics": [
        "meets_basis"
      ]
    },
    {
      "page": "predict.hal9001",
      "title": "Prediction from HAL fits",
      "topics": [
        "predict.hal9001"
      ]
    },
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      "page": "predict.SL.hal9001",
      "title": "predict.SL.hal9001",
      "topics": [
        "predict.SL.hal9001"
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    },
    {
      "page": "print.formula_hal9001",
      "title": "Print formula_hal9001 object",
      "topics": [
        "print.formula_hal9001"
      ]
    },
    {
      "page": "print.summary.hal9001",
      "title": "Print Method for Summary Class of HAL fits",
      "topics": [
        "print.summary.hal9001"
      ]
    },
    {
      "page": "SL.hal9001",
      "title": "Wrapper for Classic SuperLearner",
      "topics": [
        "SL.hal9001"
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    },
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      "page": "squash_hal_fit",
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      ]
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