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        {
            "name": "R-usedist",
            "description": "Distance matrix utilities"
        },
        {
            "name": "R-usedthese",
            "description": "Summarises package & function usage"
        },
        {
            "name": "R-usefun",
            "description": "Collection of some useful functions"
        },
        {
            "name": "R-usemodels",
            "description": "Make code snippets to fit models using the tidymodels framework"
        },
        {
            "name": "R-usethis",
            "description": "Automate package and project setup"
        },
        {
            "name": "R-ustfd",
            "description": "API client for U.S. Treasury fiscal data"
        },
        {
            "name": "R-utf8",
            "description": "UTF-8 text processing"
        },
        {
            "name": "R-utility",
            "description": "Construct, evaluate and plot value and utility functions"
        },
        {
            "name": "R-uuid",
            "description": "Tools for generating and handling of UUIDs"
        },
        {
            "name": "R-uwot",
            "description": "Uniform manifold approximation and projection (umap) method for dimensionality reduction"
        },
        {
            "name": "R-V8",
            "description": "Embedded javascript and webassembly engine for R"
        },
        {
            "name": "R-validate",
            "description": "Data validation infrastructure"
        },
        {
            "name": "R-validatetools",
            "description": "Checking and simplifying validation rule sets"
        },
        {
            "name": "R-valorate",
            "description": "Velocity and Accuracy of the LOg-RAnk TEst"
        },
        {
            "name": "R-vapour",
            "description": "Access to the Geospatial Data Abstraction Library (GDAL)"
        },
        {
            "name": "R-VAR.etp",
            "description": "VAR modelling: estimation, testing and prediction"
        },
        {
            "name": "R-varbvs",
            "description": "Large-scale Bayesian variable selection using variational methods"
        },
        {
            "name": "R-VARDetect",
            "description": "Multiple change point detection in structural VAR models"
        },
        {
            "name": "R-VaRES",
            "description": "Computes value at risk and expected shortfall for over 100 parametric distributions"
        },
        {
            "name": "R-varhandle",
            "description": "Functions for robust variable handling"
        },
        {
            "name": "R-variables",
            "description": "Abstract descriptions of (yet) unobserved variables"
        },
        {
            "name": "R-varian",
            "description": "R package for variability analysis"
        },
        {
            "name": "R-VarianceGamma",
            "description": "Variance Gamma distribution"
        },
        {
            "name": "R-VariantAnnotation",
            "description": "Annotation of genetic variants"
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        {
            "name": "R-varImp",
            "description": "RF variable importance for arbitrary measures"
        },
        {
            "name": "R-vars",
            "description": "VAR modelling"
        },
        {
            "name": "R-VarSelLCM",
            "description": "Variable selection for model-based clustering of mixed-type data set with missing values"
        },
        {
            "name": "R-varSelRF",
            "description": "Variable Selection via Random Forests"
        },
        {
            "name": "R-VARshrink",
            "description": "Shrinkage estimation methods for vector autoregressive models"
        },
        {
            "name": "R-varycoef",
            "description": "Model spatially varying coefficients"
        },
        {
            "name": "R-vccp",
            "description": "Vine copula change point detection in multivariate time series"
        },
        {
            "name": "R-vcd",
            "description": "Visualizing Categorical Data"
        },
        {
            "name": "R-vcdExtra",
            "description": "Extensions and additions to vcd (Visualizing Categorical Data)"
        },
        {
            "name": "R-vcfR",
            "description": "Manipulate and visualize VCF data"
        },
        {
            "name": "R-vcmeta",
            "description": "Varying Coefficient Meta-Analysis"
        },
        {
            "name": "R-vcov",
            "description": "Variance-covariance matrices and standard errors"
        },
        {
            "name": "R-vcr",
            "description": "Record HTTP calls and replay them"
        },
        {
            "name": "R-vctrs",
            "description": "Generic programming with typed R vectors"
        },
        {
            "name": "R-Vdgraph",
            "description": "Variance dispersion graphs and fraction of design space plots for response surface designs"
        },
        {
            "name": "R-vdiffr",
            "description": "Visual regression testing and graphical diffing"
        },
        {
            "name": "R-vectorbitops",
            "description": "Vector Bit-wise Operations"
        },
        {
            "name": "R-VedicDateTime",
            "description": "Vedic calendar system"
        },
        {
            "name": "R-vegan",
            "description": "R package for community ecologists: popular ordination methods, ecological null models & diversity analysis"
        },
        {
            "name": "R-vegclust",
            "description": "Fuzzy clustering of vegetation data"
        },
        {
            "name": "R-vek",
            "description": "Predicate helper functions for testing simple atomic vectors"
        },
        {
            "name": "R-vembedr",
            "description": "Embed video in HTML"
        },
        {
            "name": "R-venn",
            "description": "Draw Venn diagrams"
        },
        {
            "name": "R-VennDiagram",
            "description": "Generate high-resolution Venn and Euler plots"
        },
        {
            "name": "R-vennLasso",
            "description": "Variable selection for heterogeneous populations"
        },
        {
            "name": "R-verification",
            "description": "Weather forecast verification utilities"
        }
    ]
}