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            "name": "R-sna",
            "description": "Tools for social network analysis"
        },
        {
            "name": "R-snakecase",
            "description": "Convert strings into any case"
        },
        {
            "name": "R-snem",
            "description": "EM algorithm for multivariate skew-normal distribution with overparametrization"
        },
        {
            "name": "R-snfa",
            "description": "Smooth Non-Parametric Frontier Analysis"
        },
        {
            "name": "R-snow",
            "description": "Support for simple parallel computing in R"
        },
        {
            "name": "R-SnowballC",
            "description": "Snowball stemmers based on libstemmer utf-8 library"
        },
        {
            "name": "R-snowfall",
            "description": "Easier cluster computing"
        },
        {
            "name": "R-snowFT",
            "description": "Fault-tolerant simple network of workstations"
        },
        {
            "name": "R-sodium",
            "description": "Modern and easy-to-use crypto library"
        },
        {
            "name": "R-softbib",
            "description": "Software Bibliographies for R projects"
        },
        {
            "name": "R-softImpute",
            "description": "Matrix completion via iterative soft-thresholded SVD"
        },
        {
            "name": "R-som",
            "description": "Self-Organizing Map"
        },
        {
            "name": "R-soma",
            "description": "General-purpose optimisation with the self-organising migrating algorithm"
        },
        {
            "name": "R-someMTP",
            "description": "Some Multiple Testing Procedures"
        },
        {
            "name": "R-sommer",
            "description": "Solving Mixed Model Equations in R"
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        {
            "name": "R-sonar",
            "description": "Formulas for calculating sound velocity, water pressure, depth, density, absorption and sonar equations"
        },
        {
            "name": "R-SOP",
            "description": "Generalised additive p-spline regression models estimation"
        },
        {
            "name": "R-sourcetools",
            "description": "Tools for reading, tokenizing and parsing R code"
        },
        {
            "name": "R-sox",
            "description": "Structured learning in time-dependent Cox models"
        },
        {
            "name": "R-sp",
            "description": "Classes and methods for spatial data"
        },
        {
            "name": "R-spacefillr",
            "description": "Space-filling random and quasi-random sequences"
        },
        {
            "name": "R-spacesXYZ",
            "description": "CIE XYZ and some of its derived color spaces"
        },
        {
            "name": "R-spacetime",
            "description": "Classes and methods for spatio-temporal data"
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        {
            "name": "R-SpaceTimeBSS",
            "description": "Blind source separation for multivariate spatio-temporal data"
        },
        {
            "name": "R-spacyr",
            "description": "Wrapper to the spaCy NLP library"
        },
        {
            "name": "R-spam",
            "description": "SPArse Matrix"
        },
        {
            "name": "R-spam64",
            "description": "64-bit extension of the SPArse Matrix R package spam"
        },
        {
            "name": "R-spaMM",
            "description": "Mixed-effect models, with or without spatial random effects"
        },
        {
            "name": "R-sparcl",
            "description": "Perform sparse hierarchical clustering and sparse k-means clustering"
        },
        {
            "name": "R-sparkline",
            "description": "jQuery sparkline htmlwidget"
        },
        {
            "name": "R-sparklyr",
            "description": "R Interface to Apache Spark"
        },
        {
            "name": "R-SparseArray",
            "description": "Efficient in-memory representation of multi-dimensional sparse arrays"
        },
        {
            "name": "R-SparseChol",
            "description": "Sparse Cholesky LDL decomposition of symmetric matrices"
        },
        {
            "name": "R-sparseCov",
            "description": "Sparse covariance estimation based on thresholding"
        },
        {
            "name": "R-sparseDFM",
            "description": "Dynamic Factor Models with Sparse loadings"
        },
        {
            "name": "R-sparsediscrim",
            "description": "Sparse and regularized discriminant analysis"
        },
        {
            "name": "R-sparseGAM",
            "description": "Sparse generalized additive models"
        },
        {
            "name": "R-sparsegl",
            "description": "Sparse Group Lasso"
        },
        {
            "name": "R-SparseGrid",
            "description": "Sparse grid integration in R"
        },
        {
            "name": "R-sparseHessianFD",
            "description": "Numerical estimation of sparse Hessians"
        },
        {
            "name": "R-sparseinv",
            "description": "Computation of the sparse inverse subset"
        },
        {
            "name": "R-sparseLDA",
            "description": "Sparse linear discriminant analysis for Gaussians and mixture of Gaussian models"
        },
        {
            "name": "R-sparseLRMatrix",
            "description": "Represent and use sparse + low rank matrices"
        },
        {
            "name": "R-sparseLTSEigen",
            "description": "RcppEigen back-end for sparse least-trimmed squares regression"
        },
        {
            "name": "R-SparseM",
            "description": "Sparse Linear Algebra"
        },
        {
            "name": "R-sparseMatrixStats",
            "description": "Summary statistics for rows and columns of sparse matrices"
        },
        {
            "name": "R-SparseMDC",
            "description": "Implementation of SparseMDC algorithm"
        },
        {
            "name": "R-SparseMSE",
            "description": "Multiple Systems Estimation for Sparse Capture Data"
        },
        {
            "name": "R-sparseMVN",
            "description": "Multivariate normal functions for sparse covariance and precision matrices"
        },
        {
            "name": "R-sparsenet",
            "description": "Fit sparse linear regression models via non-convex optimization"
        }
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}