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            "name": "R-distributions3",
            "description": "Probability distributions as S3 Objects"
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        {
            "name": "R-DistributionUtils",
            "description": "Distribution Utilities"
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        {
            "name": "R-distrMod",
            "description": "Implements S4 classes for probability models based on packages R-distr and R-distrEx"
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        {
            "name": "R-distro",
            "description": "Linux distribution properties"
        },
        {
            "name": "R-distrom",
            "description": "Distributed multinomial regression"
        },
        {
            "name": "R-distrRmetrics",
            "description": "Distribution classes for distributions from Rmetrics"
        },
        {
            "name": "R-distrSim",
            "description": "S4-classes for setting up a coherent framework for simulation within the R-distr family of packages"
        },
        {
            "name": "R-distrTEst",
            "description": "Estimation and testing classes based on package R-distr"
        },
        {
            "name": "R-dLagM",
            "description": "Time series regression models with distributed lag models"
        },
        {
            "name": "R-dlbayes",
            "description": "Use Dirichlet Laplace prior to solve linear regression problem and do variable selection"
        },
        {
            "name": "R-dlib",
            "description": "Access to the Dlib C++ library"
        },
        {
            "name": "R-dlm",
            "description": "Bayesian and likelihood analysis of dynamic linear models"
        },
        {
            "name": "R-dlnm",
            "description": "Distributed lag non-linear models"
        },
        {
            "name": "R-dlsem",
            "description": "Distributed-Lag Linear Structural Equation Models"
        },
        {
            "name": "R-dm",
            "description": "Relational Data Models"
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        {
            "name": "R-dmai",
            "description": "Divisia Monetary Aggregates Index"
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        {
            "name": "R-dng",
            "description": "Distributions and Gradients"
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        {
            "name": "R-doBy",
            "description": "Groupwise statistics, ls-means, linear estimates, utilities"
        },
        {
            "name": "R-doconv",
            "description": "Document conversion to PDF or PNG"
        },
        {
            "name": "R-docopt",
            "description": "Command-line interface specification language"
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        {
            "name": "R-docore",
            "description": "Utility functions for scientific coding"
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        {
            "name": "R-doctest",
            "description": "Generate tests from examples using roxygen and testthat"
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            "name": "R-DoE.base",
            "description": "Full factorials, orthogonal arrays and base utilities for DoE packages"
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            "name": "R-DoE.MIParray",
            "description": "Creation of arrays by mixed integer programming"
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        {
            "name": "R-DoE.wrapper",
            "description": "Wrapper package for design of experiments functionality"
        },
        {
            "name": "R-doFuture",
            "description": "Use R-foreach to parallelize via the R-future framework"
        },
        {
            "name": "R-doMC",
            "description": "Foreach parallel adaptor for parallel"
        },
        {
            "name": "R-domir",
            "description": "Tools to support relative importance analysis"
        },
        {
            "name": "R-doMPI",
            "description": "Foreach parallel adaptor for the Rmpi package"
        },
        {
            "name": "R-doParallel",
            "description": "Foreach parallel adaptor for the parallel package"
        },
        {
            "name": "R-doRedis",
            "description": "Foreach parallel adapter using the Redis database"
        },
        {
            "name": "R-doRNG",
            "description": "Generic reproducible parallel backend for foreach loops"
        },
        {
            "name": "R-doSNOW",
            "description": "Foreach parallel adaptor for the Snow package"
        },
        {
            "name": "R-dotCall64",
            "description": "Enhanced foreign function interface supporting long vectors"
        },
        {
            "name": "R-dotenv",
            "description": "Load environment variables from .env"
        },
        {
            "name": "R-downlit",
            "description": "Syntax highlighting and automatic linking"
        },
        {
            "name": "R-downloader",
            "description": "R package for downloading files over HTTP and HTTPS"
        },
        {
            "name": "R-DPBBM",
            "description": "Dirichlet process Beta-binomial mixture"
        },
        {
            "name": "R-dpcc",
            "description": "Dynamic programming for convex clustering"
        },
        {
            "name": "R-dplR",
            "description": "Dendrochronology Program Library in R"
        },
        {
            "name": "R-dplyr",
            "description": "Grammar of data manipulation"
        },
        {
            "name": "R-DPP",
            "description": "Inference of parameters of normal distributions from a mixture of normals"
        },
        {
            "name": "R-DPQ",
            "description": "DPQ: Density, Probability, Quantile computations"
        },
        {
            "name": "R-DPQmpfr",
            "description": "DPQ (density, probability, quantile) distribution computations using MPFR"
        },
        {
            "name": "R-dprop",
            "description": "Computation of some important distributional properties"
        },
        {
            "name": "R-dpseg",
            "description": "Piece-wise linear segmentation by dynamic programming"
        },
        {
            "name": "R-DPtree",
            "description": "Dirichlet-based Polya Tree"
        },
        {
            "name": "R-dqrng",
            "description": "Fast pseudo-random number generators"
        },
        {
            "name": "R-dr",
            "description": "Methods for dimension reduction for regression"
        },
        {
            "name": "R-drake",
            "description": "Pipeline toolkit for reproducible computation at scale"
        }
    ]
}