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            "name": "R-fude",
            "description": "Utilities for Fude polygon"
        },
        {
            "name": "R-fuel",
            "description": "Framework for Unified Estimation in Log-normal models"
        },
        {
            "name": "R-fuj",
            "description": "Functions and utilities for packages and other code"
        },
        {
            "name": "R-functional",
            "description": "Curry, Compose and other higher-order functions"
        },
        {
            "name": "R-funData",
            "description": "S4 class for functional data"
        },
        {
            "name": "R-fungible",
            "description": "Psychometric functions from the Waller Lab"
        },
        {
            "name": "R-fUnitRoots",
            "description": "Modelling trends and unit roots"
        },
        {
            "name": "R-funpca",
            "description": "Functional Principal Component Analysis"
        },
        {
            "name": "R-furrr",
            "description": "Apply mapping functions in parallel using futures"
        },
        {
            "name": "R-fusen",
            "description": "Build a package from Rmarkdown files"
        },
        {
            "name": "R-futile.logger",
            "description": "Logging utility for R"
        },
        {
            "name": "R-futile.options",
            "description": "Futile options management"
        },
        {
            "name": "R-future",
            "description": "Unified parallel and distributed processing in R"
        },
        {
            "name": "R-future.apply",
            "description": "Apply function to elements in parallel using futures"
        },
        {
            "name": "R-future.batchtools",
            "description": "Future API for parallel and distributed processing using batchtools"
        },
        {
            "name": "R-future.callr",
            "description": "Future API for parallel processing using callr"
        },
        {
            "name": "R-future.mirai",
            "description": "R-future API for parallel processing using R-mirai"
        },
        {
            "name": "R-future.tests",
            "description": "Test suite for R-future API backends"
        },
        {
            "name": "R-fuzzr",
            "description": "Fuzz-test R functions"
        },
        {
            "name": "R-FuzzyClass",
            "description": "Fuzzy and non-fuzzy classifiers"
        },
        {
            "name": "R-fuzzyjoin",
            "description": "Join tables together on inexact matching"
        },
        {
            "name": "R-FuzzyLP",
            "description": "Fuzzy Linear Programming"
        },
        {
            "name": "R-FuzzyM",
            "description": "Fuzzy cognitive maps operations"
        },
        {
            "name": "R-FuzzyNumbers",
            "description": "Tools to deal with fuzzy numbers"
        },
        {
            "name": "R-FuzzyNumbers.Ext.2",
            "description": "Tools to deal with fuzzy numbers"
        },
        {
            "name": "R-FuzzyResampling",
            "description": "Resampling methods for triangular and trapezoidal fuzzy numbers"
        },
        {
            "name": "R-FuzzySimRes",
            "description": "Simulation and resampling methods for epistemic fuzzy data"
        },
        {
            "name": "R-FuzzySTs",
            "description": "Fuzzy Statistical Tools"
        },
        {
            "name": "R-fwb",
            "description": "Fractional Weighted Bootstrap"
        },
        {
            "name": "R-fwelnet",
            "description": "Feature-Weighted Elastic Net"
        },
        {
            "name": "R-fxl",
            "description": "Single case design charting package"
        },
        {
            "name": "R-fxregime",
            "description": "Exchange rate regime analysis"
        },
        {
            "name": "R-GA",
            "description": "R package for optimization using genetic algorithms"
        },
        {
            "name": "R-gam",
            "description": "Generalized Additive Models"
        },
        {
            "name": "R-gam.hp",
            "description": "Hierarchical partitioning of adjusted R2 and explained deviance for generalized additive models"
        },
        {
            "name": "R-gamair",
            "description": "Data for GAMs: An Introduction with R"
        },
        {
            "name": "R-gambin",
            "description": "Fit the gambin model to species abundance distributions"
        },
        {
            "name": "R-gamboostLSS",
            "description": "Boosting methods for GAMLSS"
        },
        {
            "name": "R-gamclass",
            "description": "Functions and data for a course on modern regression and classification"
        },
        {
            "name": "R-gamCopula",
            "description": "Generalized additive models for bivariate conditional dependence structures and vine copulas"
        },
        {
            "name": "R-GameTheory",
            "description": "Cooperative Game Theory"
        },
        {
            "name": "R-GameTheoryAllocation",
            "description": "Tools for calculating allocations in Game Theory"
        },
        {
            "name": "R-gamlr",
            "description": "Gamma lasso regression"
        },
        {
            "name": "R-gamlss",
            "description": "Generalised Additive Models for Location Scale and Shape"
        },
        {
            "name": "R-gamlss.add",
            "description": "Extra additive terms for generalized additive models for location scale and shape"
        },
        {
            "name": "R-gamlss.cens",
            "description": "Fitting an interval response variable using gamlss.family distributions"
        },
        {
            "name": "R-gamlss.countKinf",
            "description": "Generating and fitting k-inflated discrete gamlss.family distributions"
        },
        {
            "name": "R-gamlss.data",
            "description": "Data for generalised additive models for location scale and shape"
        },
        {
            "name": "R-gamlss.dist",
            "description": "Distributions for generalized additive models for location scale and shape"
        },
        {
            "name": "R-gamlss.foreach",
            "description": "Parallel computations for distributional regression"
        }
    ]
}