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        {
            "name": "R-netseg",
            "description": "Measures of network segregation and homophily"
        },
        {
            "name": "R-NetSwan",
            "description": "Network Strengths and Weaknesses Analysis"
        },
        {
            "name": "R-netUtils",
            "description": "Miscellaneous functions for network analysis"
        },
        {
            "name": "R-network",
            "description": "Classes for relational data"
        },
        {
            "name": "R-networkD3",
            "description": "D3 JavaScript network graphs from R"
        },
        {
            "name": "R-networkDynamic",
            "description": "Dynamic extensions for network objects"
        },
        {
            "name": "R-networkLite",
            "description": "Simplified implementation of the Network package functionality"
        },
        {
            "name": "R-networktools",
            "description": "Tools for identifying important nodes in networks"
        },
        {
            "name": "R-neuralnet",
            "description": "Training of neural networks"
        },
        {
            "name": "R-NeuralNetTools",
            "description": "Visualization and analysis tools for neural networks"
        },
        {
            "name": "R-neverhpfilter",
            "description": "Alternative to the Hodrick–Prescott filter"
        },
        {
            "name": "R-new.dist",
            "description": "Alternative continuous and discrete distributions"
        },
        {
            "name": "R-Newdistns",
            "description": "Computes PDF, CDF, quantile, random numbers and measures of inference for 19 general families of distributions."
        },
        {
            "name": "R-nFactors",
            "description": "Parallel analysis and other non-graphical solutions to the Cattell scree test"
        },
        {
            "name": "R-nfer",
            "description": "Event stream abstraction using interval logic"
        },
        {
            "name": "R-nftbart",
            "description": "Non-parametric failure time Bayesian additive regression trees"
        },
        {
            "name": "R-ngram",
            "description": "Fast n-Gram tokenization"
        },
        {
            "name": "R-NHANES",
            "description": "Data from the US National Health and Nutrition Examination study"
        },
        {
            "name": "R-nhm",
            "description": "Non-Homogeneous Markov and Hidden Markov Multistate Models"
        },
        {
            "name": "R-NHMSAR",
            "description": "Non-homogeneous Markov switching autoregressive models"
        },
        {
            "name": "R-nimble",
            "description": "The base NIMBLE package for R"
        },
        {
            "name": "R-nimbleAPT",
            "description": "Adaptive parallel tempering for R-nimble"
        },
        {
            "name": "R-nimbleHMC",
            "description": "Hamiltonian Monte Carlo and other gradient-based MCMC sampling algorithms for R-nimble"
        },
        {
            "name": "R-nimbleNoBounds",
            "description": "Transformed distributions for improved MCMC efficiency"
        },
        {
            "name": "R-nimbleSCR",
            "description": "Spatial Capture-Recapture (SCR) methods"
        },
        {
            "name": "R-nimbleSMC",
            "description": "Sequential Monte Carlo Methods for R-nimble"
        },
        {
            "name": "R-NISTnls",
            "description": "Non-linear least squares examples from NIST"
        },
        {
            "name": "R-NISTunits",
            "description": "Fundamental physical constants and unit conversions from NIST"
        },
        {
            "name": "R-NlcOptim",
            "description": "Solve non-linear optimization with non-linear constraints"
        },
        {
            "name": "R-nleqslv",
            "description": "Solve systems of nonlinear equations"
        },
        {
            "name": "R-nlist",
            "description": "Lists of numeric atomic objects"
        },
        {
            "name": "R-nlive",
            "description": "Automated estimation of sigmoidal and piece-wise linear mixed models"
        },
        {
            "name": "R-nlme",
            "description": "Fit and compare Gaussian linear and nonlinear mixed-effects models"
        },
        {
            "name": "R-nlmeU",
            "description": "Datasets and utility functions enhancing functionality of R-nlme package"
        },
        {
            "name": "R-nlmm",
            "description": "Generalized Laplace Mixed-Effects Models"
        },
        {
            "name": "R-nlmrt",
            "description": "Functions for non-linear least squares solutions"
        },
        {
            "name": "R-nlopt",
            "description": "Call optimization solvers with .nl files"
        },
        {
            "name": "R-nloptr",
            "description": "R Interface to NLopt"
        },
        {
            "name": "R-NLP",
            "description": "Natural Language Processing infrastructure"
        },
        {
            "name": "R-nlpred",
            "description": "Estimators of non-linear cross-validated risks optimized for small samples"
        },
        {
            "name": "R-nlpsem",
            "description": "Linear and non-linear longitudinal process in structural equation modelling framework"
        },
        {
            "name": "R-nlraa",
            "description": "Non-linear Regression for Agricultural Applications"
        },
        {
            "name": "R-nlreg",
            "description": "Higher-order inference for non-linear heteroscedastic models"
        },
        {
            "name": "R-NLRoot",
            "description": "Search for the root of an equation"
        },
        {
            "name": "R-nls2",
            "description": "Non-linear regression with brute force"
        },
        {
            "name": "R-nlsem",
            "description": "Fitting structural equation mixture models"
        },
        {
            "name": "R-nlshrink",
            "description": "Non-linear shrinkage estimation of population eigenvalues and covariance matrices"
        },
        {
            "name": "R-nlsic",
            "description": "Non-linear least squares with inequality constraints"
        },
        {
            "name": "R-nlsr",
            "description": "Functions for non-linear least squares solutions"
        },
        {
            "name": "R-nlstac",
            "description": "Fit separable non-linear models"
        }
    ]
}