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            "name": "R-fido",
            "description": "Bayesian multinomial logistic normal regression"
        },
        {
            "name": "R-fields",
            "description": "Tools for spatial data"
        },
        {
            "name": "R-fiery",
            "description": "Lightweight and flexible web framework"
        },
        {
            "name": "R-filearray",
            "description": "File-backed array for out-of-memory computation"
        },
        {
            "name": "R-filehash",
            "description": "Simple key–value database"
        },
        {
            "name": "R-filehashSQLite",
            "description": "Simple key-value database using SQLite"
        },
        {
            "name": "R-filelock",
            "description": "Portable file locking"
        },
        {
            "name": "R-filematrix",
            "description": "File-backed matrix class with convenient read and write access"
        },
        {
            "name": "R-filenamer",
            "description": "Easy management of file names"
        },
        {
            "name": "R-fImport",
            "description": "Rmetrics – import economic and financial data"
        },
        {
            "name": "R-finalfit",
            "description": "Generate regression results tables and plots in final format for publication"
        },
        {
            "name": "R-finetune",
            "description": "Additional functions for model tuning"
        },
        {
            "name": "R-finity",
            "description": "Test for finiteness of moments in a distribution"
        },
        {
            "name": "R-FinTS",
            "description": "Analysis of Financial Time Series"
        },
        {
            "name": "R-fishMod",
            "description": "Fit Poisson-sum-of-Gammas GLMs, tweedie GLMs and Delta log-normal models"
        },
        {
            "name": "R-fit.models",
            "description": "Compare fitted models"
        },
        {
            "name": "R-FitAR",
            "description": "Subset AR Model fitting"
        },
        {
            "name": "R-FitARMA",
            "description": "Fit ARMA or ARIMA using fast MLE algorithm"
        },
        {
            "name": "R-fitConic",
            "description": "Fit data to any conic section"
        },
        {
            "name": "R-fitdistrplus",
            "description": "Help to fit of a parametric distribution to non-censored or censored data"
        },
        {
            "name": "R-FitDynMix",
            "description": "Estimation of dynamic mixtures"
        },
        {
            "name": "R-fitteR",
            "description": "Fit hundreds of theoretical distributions to empirical data"
        },
        {
            "name": "R-fixest",
            "description": "Fast fixed-effects estimations"
        },
        {
            "name": "R-fixtuRes",
            "description": "Mock data generator"
        },
        {
            "name": "R-FKF",
            "description": "Fast Kalman Filter"
        },
        {
            "name": "R-FLAME",
            "description": "Interpretable matching for causal inference"
        },
        {
            "name": "R-flare",
            "description": "Family of lasso regression"
        },
        {
            "name": "R-flashClust",
            "description": "Implementation of optimal hierarchical clustering"
        },
        {
            "name": "R-flashier",
            "description": "Empirical Bayes matrix factorization"
        },
        {
            "name": "R-flexclust",
            "description": "Flexible cluster algorithms"
        },
        {
            "name": "R-flexdashboard",
            "description": "Rmarkdown format for flexible dashboards"
        },
        {
            "name": "R-FlexDir",
            "description": "Tools to work with the flexible Dirichlet distribution"
        },
        {
            "name": "R-FlexGAM",
            "description": "Generalized additive models with flexible response functions"
        },
        {
            "name": "R-flexiblas",
            "description": "FlexiBLAS API interface for R"
        },
        {
            "name": "R-flexmix",
            "description": "Flexible mixture modeling"
        },
        {
            "name": "R-flexmixNL",
            "description": "Finite mixture modeling of generalized non-linear models"
        },
        {
            "name": "R-flexmsm",
            "description": "General framework for flexible multi-state survival modelling"
        },
        {
            "name": "R-flexpolyline",
            "description": "Flexible polyline encoding"
        },
        {
            "name": "R-FlexReg",
            "description": "Regression models for bounded continuous and discrete responses"
        },
        {
            "name": "R-flexsurv",
            "description": "Prediction error curves for risk prediction models in survival analysis"
        },
        {
            "name": "R-flexsurvcure",
            "description": "Flexible parametric cure models"
        },
        {
            "name": "R-flextable",
            "description": "Functions for tabular reporting"
        },
        {
            "name": "R-flintyR",
            "description": "Simple and flexible tests of sample exchangeability"
        },
        {
            "name": "R-flip",
            "description": "Multivariate permutation tests"
        },
        {
            "name": "R-float",
            "description": "Single precision (float) matrices for R"
        },
        {
            "name": "R-flock",
            "description": "Process synchronization using file locks"
        },
        {
            "name": "R-FLOPART",
            "description": "Functional Labelled Optimal Partitioning"
        },
        {
            "name": "R-FLORAL",
            "description": "Fit log-ratio lasso regression for compositional data"
        },
        {
            "name": "R-fma",
            "description": "Data sets from Forecasting: Methods and Applications (1998)"
        },
        {
            "name": "R-fmcmc",
            "description": "Friendly MCMC framework"
        }
    ]
}