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            "name": "R-skewMLRM",
            "description": "Estimation for scale-shape mixtures of skew-normal distributions"
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            "name": "R-skewt",
            "description": "Skewed Student-t Distribution"
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            "name": "R-skimr",
            "description": "Compact and flexible summaries of data"
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            "name": "R-skmeans",
            "description": "Spherical k-means clustering"
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            "name": "R-SKNN",
            "description": "Super K-Nearest Neighbor (SKNN) classification algorithm"
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        {
            "name": "R-sl3",
            "description": "Pipelines for machine learning and super learning"
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        {
            "name": "R-slam",
            "description": "Sparse Lightweight Arrays and Matrices"
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        {
            "name": "R-slanter",
            "description": "Slanted matrices and ordered clustering"
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        {
            "name": "R-slasso",
            "description": "S-lasso estimator for the function-on-function linear regression"
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        {
            "name": "R-sleev",
            "description": "Semi-parametric likelihood estimation with errors in variables"
        },
        {
            "name": "R-Sleuth2",
            "description": "Data-sets from Statistical Sleuth (2nd ed.)"
        },
        {
            "name": "R-Sleuth3",
            "description": "Data-sets from Statistical Sleuth (3rd ed.)"
        },
        {
            "name": "R-slider",
            "description": "Sliding window functions"
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        {
            "name": "R-slippymath",
            "description": "Slippy map tile tools"
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        {
            "name": "R-slm",
            "description": "Stationary Linear Models"
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        {
            "name": "R-sloop",
            "description": "Helpers for OOP in R"
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            "name": "R-slp",
            "description": "Discrete prolate spheroidal (slepian) sequence regression smoothers"
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        {
            "name": "R-sm",
            "description": "Smoothing methods for non-parametric regression and density estimation"
        },
        {
            "name": "R-smacof",
            "description": "Multi-dimensional scaling"
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            "name": "R-SmCCNet",
            "description": "Sparse Multiple Canonical Correlation Network analysis tool"
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        {
            "name": "R-smd",
            "description": "Compute standardized mean differences"
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            "name": "R-SMM",
            "description": "Simulation and estimation of multi-state discrete-time semi-Markov and Markov models"
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            "name": "R-smoof",
            "description": "Single and multi-objective optimization test functions"
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        {
            "name": "R-smooth",
            "description": "Forecasting using state space models"
        },
        {
            "name": "R-smoother",
            "description": "Functions related to the smoothing of numerical data"
        },
        {
            "name": "R-smoothmest",
            "description": "Smoothed m-estimators for 1-dimensional location"
        },
        {
            "name": "R-smoothSurv",
            "description": "Survival regression with smoothed error distribution"
        },
        {
            "name": "R-smoots",
            "description": "Non-parametric estimation of the trend and its derivatives in TS"
        },
        {
            "name": "R-smotefamily",
            "description": "Collection of oversampling techniques for class imbalance problem based on SMOTE"
        },
        {
            "name": "R-SMR",
            "description": "Externally studentized midrange distribution"
        },
        {
            "name": "R-sMTL",
            "description": "Sparse Multi-Task Learning"
        },
        {
            "name": "R-sn",
            "description": "Skew-Normal and related distributions such as the skew-t and the SUN"
        },
        {
            "name": "R-sna",
            "description": "Tools for social network analysis"
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        {
            "name": "R-snakecase",
            "description": "Convert strings into any case"
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        {
            "name": "R-snem",
            "description": "EM algorithm for multivariate skew-normal distribution with overparametrization"
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        {
            "name": "R-snfa",
            "description": "Smooth Non-Parametric Frontier Analysis"
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        {
            "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"
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            "name": "R-som",
            "description": "Self-Organizing Map"
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        {
            "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"
        },
        {
            "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"
        }
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}