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  "Title": "Statistical Tools for Filebacked Big Matrices",
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  "Date": "2025-06-30",
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  "Description": "Easy-to-use, efficient, flexible and scalable statistical\ntools. Package bigstatsr provides and uses Filebacked Big\nMatrices via memory-mapping. It provides for instance matrix\noperations, Principal Component Analysis, sparse linear\nsupervised models, utility functions and more\n<doi:10.1093/bioinformatics/bty185>.",
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    "big_read",
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    "big_spLinReg",
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    "big_SVD",
    "big_tcrossprodSelf",
    "big_transpose",
    "big_univLinReg",
    "big_univLogReg",
    "big_write",
    "block_size",
    "cols_along",
    "covar_from_df",
    "diag",
    "FBM",
    "FBM.code256",
    "get_beta",
    "nb_cores",
    "pasteLoc",
    "pcor",
    "plot_grid",
    "plus",
    "rows_along",
    "sub_bk",
    "theme_bigstatsr",
    "typeof",
    "without_downcast_warning"
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      "page": "as_scaling_fun",
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      "topics": [
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      ]
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      "page": "asPlotlyText",
      "title": "Plotly text",
      "topics": [
        "asPlotlyText"
      ]
    },
    {
      "page": "AUC",
      "title": "AUC",
      "topics": [
        "AUC",
        "AUCBoot"
      ]
    },
    {
      "page": "big_apply",
      "title": "Split-Apply-Combine",
      "topics": [
        "big_apply"
      ]
    },
    {
      "page": "big_colstats",
      "title": "Standard univariate statistics",
      "topics": [
        "big_colstats"
      ]
    },
    {
      "page": "big_copy",
      "title": "Copy as a Filebacked Big Matrix",
      "topics": [
        "big_copy"
      ]
    },
    {
      "page": "big_cor",
      "title": "Correlation",
      "topics": [
        "big_cor"
      ]
    },
    {
      "page": "big_counts",
      "title": "Counts for class FBM.code256",
      "topics": [
        "big_counts"
      ]
    },
    {
      "page": "big_cprodMat",
      "title": "Cross-product with a matrix",
      "topics": [
        "big_cprodMat",
        "crossprod,FBM,matrix-method",
        "crossprod,matrix,FBM-method",
        "tcrossprod,FBM,matrix-method",
        "tcrossprod,matrix,FBM-method"
      ]
    },
    {
      "page": "big_cprodVec",
      "title": "Cross-product with a vector",
      "topics": [
        "big_cprodVec"
      ]
    },
    {
      "page": "big_crossprodSelf",
      "title": "Crossprod",
      "topics": [
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        "crossprod,FBM,missing-method"
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    {
      "page": "big_increment",
      "title": "Increment an FBM",
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      "topics": [
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    {
      "page": "big_prodMat",
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      "topics": [
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        "%*%,matrix,FBM-method",
        "big_prodMat"
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    {
      "page": "big_prodVec",
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      "topics": [
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      "page": "big_randomSVD",
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      "topics": [
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      "title": "Some scaling functions",
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      "page": "big_spLogReg",
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        "tcrossprod,FBM,missing-method"
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      "title": "Transpose an FBM",
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        "big_transpose"
      ]
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      "page": "big_univLinReg",
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      "topics": [
        "big_univLinReg"
      ]
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      "page": "big_univLogReg",
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      "topics": [
        "big_univLogReg"
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      "page": "big_write",
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      "page": "block_size",
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      "topics": [
        "block_size"
      ]
    },
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      "page": "covar_from_df",
      "title": "Numeric matrix from data frame",
      "topics": [
        "covar_from_df"
      ]
    },
    {
      "page": "FBM-class",
      "title": "Class FBM",
      "topics": [
        "as_FBM",
        "FBM",
        "FBM-class",
        "FBM_RC"
      ]
    },
    {
      "page": "FBM-methods",
      "title": "Methods for the FBM class",
      "topics": [
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        "dim,FBM-method",
        "FBM-methods",
        "length,FBM-method",
        "typeof,FBM-method",
        "[,FBM,ANY,ANY,ANY-method",
        "[<-,FBM,ANY,ANY,ANY-method"
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      "title": "Class FBM.code256",
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        "FBM.code256",
        "FBM.code256-class",
        "FBM.code256_RC"
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    {
      "page": "get_beta",
      "title": "Combine sets of coefficients",
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        "get_beta"
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      "page": "predict.mhtest",
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