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            "name": "R-bettermc",
            "description": "Enhanced fork-based parallelization"
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        {
            "name": "R-bezier",
            "description": "Toolkit for Bezier curves and splines"
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        {
            "name": "R-bfast",
            "description": "Breaks for Additive Season and Trend in time series"
        },
        {
            "name": "R-BFF",
            "description": "Bayes Factor Functions"
        },
        {
            "name": "R-bfp",
            "description": "Bayesian Fractional Polynomials"
        },
        {
            "name": "R-BFpack",
            "description": "Flexible Bayes factor testing of scientific expectations"
        },
        {
            "name": "R-bgev",
            "description": "Bimodal GEV distribution with location parameter"
        },
        {
            "name": "R-BGFD",
            "description": "Bell-G and Complementary Bell-G family of distributions"
        },
        {
            "name": "R-BGGM",
            "description": "Bayesian Gaussian Graphical Models"
        },
        {
            "name": "R-bggum",
            "description": "Bayesian estimation of generalized graded unfolding model parameters"
        },
        {
            "name": "R-BGLR",
            "description": "Bayesian Generalized Linear Regression"
        },
        {
            "name": "R-bgmm",
            "description": "Gaussian mixture modelling algorithms and the belief-based mixture modelling"
        },
        {
            "name": "R-bgms",
            "description": "Bayesian variable selection for networks of binary and/or ordinal variables"
        },
        {
            "name": "R-BGVAR",
            "description": "Bayesian global vector autoregressions"
        },
        {
            "name": "R-bgw",
            "description": "Bunch–Gay–Welsch statistical estimation"
        },
        {
            "name": "R-BH",
            "description": "Boost C++ Header Files"
        },
        {
            "name": "R-Bhat",
            "description": "General likelihood exploration"
        },
        {
            "name": "R-BiasedUrn",
            "description": "Biased Urn model distributions"
        },
        {
            "name": "R-bib2df",
            "description": "Parse a BibTeX file to a data frame"
        },
        {
            "name": "R-bibs",
            "description": "Bayesian Inference for the Birnbaum–Saunders distribution"
        },
        {
            "name": "R-bibtex",
            "description": "Utility to parse bibtex files"
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        {
            "name": "R-BiDAG",
            "description": "Bayesian inference for directed acyclic graphs"
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        {
            "name": "R-bife",
            "description": "Binary choice models with fixed effects"
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        {
            "name": "R-bifurcatingr",
            "description": "Bifurcating autoregressive models"
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        {
            "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"
        },
        {
            "name": "R-bigassertr",
            "description": "Assertion and message functions"
        },
        {
            "name": "R-bigBits",
            "description": "Perform Boolean operations on large numbers"
        },
        {
            "name": "R-bigD",
            "description": "Flexibly format dates and times to a given locale"
        },
        {
            "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"
        },
        {
            "name": "R-bignum",
            "description": "Arbitrary-precision arithmetic for R"
        },
        {
            "name": "R-bigparallelr",
            "description": "Utility functions for easy parallelism in R"
        },
        {
            "name": "R-bigQueryR",
            "description": "Interface with Google BigQuery"
        },
        {
            "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"
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}