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        {
            "name": "R-kzs",
            "description": "Kolmogorov–Zurbenko spatial smoothing and applications"
        },
        {
            "name": "R-l0ara",
            "description": "Sparse generalized linear model with l0 approximation for feature selection"
        },
        {
            "name": "R-l1ball",
            "description": "L1-ball prior for sparse regression"
        },
        {
            "name": "R-L1centrality",
            "description": "Graph/network analysis based on l1 centrality"
        },
        {
            "name": "R-L1pack",
            "description": "Routines for L1 estimation"
        },
        {
            "name": "R-l2boost",
            "description": "Friedman’s boosting algorithm"
        },
        {
            "name": "R-L2hdchange",
            "description": "L2 inference for change points in high-dimensional time series"
        },
        {
            "name": "R-labdsv",
            "description": "Ordination and multivariate analysis for ecology"
        },
        {
            "name": "R-label.switching",
            "description": "Relabelling MCMC outputs of mixture models"
        },
        {
            "name": "R-labeling",
            "description": "Axis labelling"
        },
        {
            "name": "R-labelled",
            "description": "Manipulating labelled data"
        },
        {
            "name": "R-labelr",
            "description": "Label data frames, variables and values"
        },
        {
            "name": "R-labelVector",
            "description": "Label attributes for atomic vectors"
        },
        {
            "name": "R-LAD",
            "description": "Derive leaf angle distribution (LAD) from measured leaf inclination angles"
        },
        {
            "name": "R-laeken",
            "description": "Estimation of indicators on social exclusion and poverty"
        },
        {
            "name": "R-LaF",
            "description": "Fast access to Large ASCII Files"
        },
        {
            "name": "R-lagged",
            "description": "Classes and methods for lagged objects"
        },
        {
            "name": "R-laGP",
            "description": "Local approximate gaussian process regression"
        },
        {
            "name": "R-Lahman",
            "description": "Sean Lahman baseball database"
        },
        {
            "name": "R-LaMa",
            "description": "Fast numerical maximum likelihood estimation for latent Markov models"
        },
        {
            "name": "R-lambda.r",
            "description": "Modeling data with functional programming"
        },
        {
            "name": "R-LambertW",
            "description": "Probabilistic models to analyze and gaussianize heavy-tailed, skewed data"
        },
        {
            "name": "R-lamW",
            "description": "Lambert W-function"
        },
        {
            "name": "R-languageR",
            "description": "Analyzing Linguistic Data: A Practical Introduction to Statistics"
        },
        {
            "name": "R-LaplacesDemon",
            "description": "Complete environment for Bayesian inference"
        },
        {
            "name": "R-lars",
            "description": "Least angle regression, lasso and forward stagewise"
        },
        {
            "name": "R-lassoshooting",
            "description": "L1-regularized regression (lasso) solver using the cyclic coordinate descent algorithm"
        },
        {
            "name": "R-latentnet",
            "description": "Latent position and cluster models for statistical networks"
        },
        {
            "name": "R-later",
            "description": "The fastest delimited reader for R"
        },
        {
            "name": "R-latex2exp",
            "description": "Use LaTeX Expressions in plots"
        },
        {
            "name": "R-lattice",
            "description": "Trellis graphics for R"
        },
        {
            "name": "R-latticeExtra",
            "description": "Extra graphical utilities based on lattice"
        },
        {
            "name": "R-LatticeKrig",
            "description": "Multi-resolution Kriging based on Markov random fields"
        },
        {
            "name": "R-lava",
            "description": "Latent Variable models"
        },
        {
            "name": "R-lavaan",
            "description": "Latent variable analysis"
        },
        {
            "name": "R-lavaan.survey",
            "description": "Complex survey structural equation modelling"
        },
        {
            "name": "R-lavaanExtra",
            "description": "Convenience functions for R-lavaan"
        },
        {
            "name": "R-lavaanPlot",
            "description": "Plots path diagrams from models in R-lavaan using R-DiagrammeR"
        },
        {
            "name": "R-lavacreg",
            "description": "Latent variable count regression models"
        },
        {
            "name": "R-lavaSearch2",
            "description": "Tools for model specification in the latent-variable framework"
        },
        {
            "name": "R-lawstat",
            "description": "Tools for biostatistics, public policy, and law"
        },
        {
            "name": "R-lazyarray",
            "description": "Persistent large data array with lazy-loading on demand"
        },
        {
            "name": "R-lazyeval",
            "description": "Lazy (Non-Standard) Evaluation"
        },
        {
            "name": "R-lazyNumbers",
            "description": "Exact floating-point arithmetic"
        },
        {
            "name": "R-lbfgs",
            "description": "Limited-memory BFGS optimization"
        },
        {
            "name": "R-lbfgsb3c",
            "description": "Solving and optimizing large-scale non-linear systems"
        },
        {
            "name": "R-LBI",
            "description": "Likelihood-Based Inference"
        },
        {
            "name": "R-lcmm",
            "description": "Extended mixed models using latent classes and latent processes"
        },
        {
            "name": "R-lcopula",
            "description": "Liouville Copulas"
        },
        {
            "name": "R-lcra",
            "description": "Bayesian joint latent class and regression models"
        }
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}