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        {
            "name": "R-simpr",
            "description": "Flexible tidyverse-friendly simulations"
        },
        {
            "name": "R-simsalapar",
            "description": "Tools for simulation studies in parallel"
        },
        {
            "name": "R-simtrial",
            "description": "Clinical Trial Simulation"
        },
        {
            "name": "R-simts",
            "description": "Time series analysis tools"
        },
        {
            "name": "R-SingleCellExperiment",
            "description": "S4 classes for single-cell data"
        },
        {
            "name": "R-singR",
            "description": "Simultaneous non-gaussian component analysis"
        },
        {
            "name": "R-sirt",
            "description": "Supplementary Item Response Theory models"
        },
        {
            "name": "R-SIS",
            "description": "Sure Independence Screening"
        },
        {
            "name": "R-sitar",
            "description": "Super-imposition by translation and rotation growth curve analysis"
        },
        {
            "name": "R-sitmo",
            "description": "Parallel pseudo-random number generator (PPRNG) sitmo headers"
        },
        {
            "name": "R-sjlabelled",
            "description": "Labelled data utility functions"
        },
        {
            "name": "R-sjmisc",
            "description": "Data and variable transformation functions"
        },
        {
            "name": "R-sjPlot",
            "description": "Data visualization for statistics in social science"
        },
        {
            "name": "R-sjstats",
            "description": "Collection of convenient functions for common statistical computations"
        },
        {
            "name": "R-sjtable2df",
            "description": "Convert sjPlot HTML tables to R-data.frame"
        },
        {
            "name": "R-skellam",
            "description": "Densities and sampling for the Skellam distribution"
        },
        {
            "name": "R-SkewHyperbolic",
            "description": "Skew hyperbolic Student t distribution"
        },
        {
            "name": "R-skewlmm",
            "description": "Scale mixture of skew-normal linear mixed models"
        },
        {
            "name": "R-skewMLRM",
            "description": "Estimation for scale-shape mixtures of skew-normal distributions"
        },
        {
            "name": "R-skewt",
            "description": "Skewed Student-t Distribution"
        },
        {
            "name": "R-skimr",
            "description": "Compact and flexible summaries of data"
        },
        {
            "name": "R-skmeans",
            "description": "Spherical k-means clustering"
        },
        {
            "name": "R-SKNN",
            "description": "Super K-Nearest Neighbor (SKNN) classification algorithm"
        },
        {
            "name": "R-sl3",
            "description": "Pipelines for machine learning and super learning"
        },
        {
            "name": "R-slam",
            "description": "Sparse Lightweight Arrays and Matrices"
        },
        {
            "name": "R-slanter",
            "description": "Slanted matrices and ordered clustering"
        },
        {
            "name": "R-slasso",
            "description": "S-lasso estimator for the function-on-function linear regression"
        },
        {
            "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"
        },
        {
            "name": "R-slippymath",
            "description": "Slippy map tile tools"
        },
        {
            "name": "R-slm",
            "description": "Stationary Linear Models"
        },
        {
            "name": "R-sloop",
            "description": "Helpers for OOP in R"
        },
        {
            "name": "R-slp",
            "description": "Discrete prolate spheroidal (slepian) sequence regression smoothers"
        },
        {
            "name": "R-sm",
            "description": "Smoothing methods for non-parametric regression and density estimation"
        },
        {
            "name": "R-smacof",
            "description": "Multi-dimensional scaling"
        },
        {
            "name": "R-SmCCNet",
            "description": "Sparse Multiple Canonical Correlation Network analysis tool"
        },
        {
            "name": "R-smd",
            "description": "Compute standardized mean differences"
        },
        {
            "name": "R-SMM",
            "description": "Simulation and estimation of multi-state discrete-time semi-Markov and Markov models"
        },
        {
            "name": "R-smoof",
            "description": "Single and multi-objective optimization test functions"
        },
        {
            "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"
        }
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}