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            "name": "R-BGVAR",
            "description": "Bayesian global vector autoregressions"
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        {
            "name": "R-bgw",
            "description": "Bunch–Gay–Welsch statistical estimation"
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        {
            "name": "R-BH",
            "description": "Boost C++ Header Files"
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            "name": "R-Bhat",
            "description": "General likelihood exploration"
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        {
            "name": "R-BiasedUrn",
            "description": "Biased Urn model distributions"
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        {
            "name": "R-bib2df",
            "description": "Parse a BibTeX file to a data frame"
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        {
            "name": "R-bibs",
            "description": "Bayesian Inference for the Birnbaum–Saunders distribution"
        },
        {
            "name": "R-bibtex",
            "description": "Utility to parse bibtex files"
        },
        {
            "name": "R-BiDAG",
            "description": "Bayesian inference for directed acyclic graphs"
        },
        {
            "name": "R-bife",
            "description": "Binary choice models with fixed effects"
        },
        {
            "name": "R-bifurcatingr",
            "description": "Bifurcating autoregressive models"
        },
        {
            "name": "R-bigalgebra",
            "description": "BLAS/LAPACK routines for native R matrices and big.matrix objects"
        },
        {
            "name": "R-biganalytics",
            "description": "Utilities for big.matrix objects from R-bigmemory"
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        {
            "name": "R-bigassertr",
            "description": "Assertion and message functions"
        },
        {
            "name": "R-bigBits",
            "description": "Perform Boolean operations on large numbers"
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        {
            "name": "R-bigD",
            "description": "Flexibly format dates and times to a given locale"
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        {
            "name": "R-bigergm",
            "description": "Hierarchical exponential-family models for big networks"
        },
        {
            "name": "R-bigGP",
            "description": "Distributed Gaussian process calculations"
        },
        {
            "name": "R-biglm",
            "description": "Bounded Memory Linear and Generalized Linear Models"
        },
        {
            "name": "R-bigmemory",
            "description": "Manage massive matrices with shared memory and memory-mapped files"
        },
        {
            "name": "R-bigmemory.sri",
            "description": "Shared-resource interface for the bigmemory and synchronicity packages"
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        {
            "name": "R-bignum",
            "description": "Arbitrary-precision arithmetic for R"
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        {
            "name": "R-bigparallelr",
            "description": "Utility functions for easy parallelism in R"
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        {
            "name": "R-bigQueryR",
            "description": "Interface with Google BigQuery"
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        {
            "name": "R-BigQuic",
            "description": "Big Quadratic Inverse Covariance estimation"
        },
        {
            "name": "R-bigreadr",
            "description": "Read large text files by splitting them in smaller files"
        },
        {
            "name": "R-bigrquery",
            "description": "Interface to Google BigQuery API"
        },
        {
            "name": "R-bigsnpr",
            "description": "Analysis of massive SNP arrays"
        },
        {
            "name": "R-bigsparser",
            "description": "Sparse matrix format with data on disk"
        },
        {
            "name": "R-bigsplines",
            "description": "Smoothing splines for large samples"
        },
        {
            "name": "R-bigstatsr",
            "description": "Statistical tools for filebacked big matrices"
        },
        {
            "name": "R-bigstep",
            "description": "Stepwise selection for large data sets"
        },
        {
            "name": "R-bigtabulate",
            "description": "Table, apply and split functionality for Matrix and big.matrix objects"
        },
        {
            "name": "R-bigtime",
            "description": "Sparse estimation of large time series models"
        },
        {
            "name": "R-bigutilsr",
            "description": "Utility functions for large-scale data"
        },
        {
            "name": "R-bimets",
            "description": "Time series and econometric modelling"
        },
        {
            "name": "R-BINCOR",
            "description": "Estimate the correlation between two irregular time series"
        },
        {
            "name": "R-binda",
            "description": "Multi-class discriminant analysis using binary predictors"
        },
        {
            "name": "R-bindata",
            "description": "Generation of artificial binary data"
        },
        {
            "name": "R-bindr",
            "description": "Parametrized active bindings"
        },
        {
            "name": "R-bindrcpp",
            "description": "Rcpp interface to active bindings"
        },
        {
            "name": "R-binGroup",
            "description": "Evaluation and experimental design for binomial group testing"
        },
        {
            "name": "R-binGroup2",
            "description": "Identification and estimation using group testing"
        },
        {
            "name": "R-binom",
            "description": "Binomial confidence intervals for several parameterizations"
        },
        {
            "name": "R-binomCI",
            "description": "Confidence intervals for a binomial proportion"
        },
        {
            "name": "R-BinSegBstrap",
            "description": "Piecewise smooth regression by bootstrapped binary segmentation"
        },
        {
            "name": "R-binsegRcpp",
            "description": "Efficient implementation of binary segmentation"
        },
        {
            "name": "R-binseqtest",
            "description": "Exact binary sequential designs and analysis"
        },
        {
            "name": "R-Biobase",
            "description": "Base functions for Bioconductor"
        },
        {
            "name": "R-biobroom",
            "description": "Turn Bioconductor objects into tidy data frames"
        }
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}