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        {
            "name": "R-dynsbm",
            "description": "Dynamic Stochastic Block Models"
        },
        {
            "name": "R-dynsurv",
            "description": "Dynamic models for survival data"
        },
        {
            "name": "R-e1071",
            "description": "Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien"
        },
        {
            "name": "R-earth",
            "description": "Multivariate adaptive regression splines"
        },
        {
            "name": "R-easy.utils",
            "description": "Frequently used functions for easy R programming"
        },
        {
            "name": "R-easyanova",
            "description": "Analysis of variance and other important complementary analyses"
        },
        {
            "name": "R-easybgm",
            "description": "Extract and visualize Bayesian graphical models"
        },
        {
            "name": "R-easycsv",
            "description": "Load multiple .csv and .txt tables"
        },
        {
            "name": "R-easydb",
            "description": "Easily connect to common types of databases"
        },
        {
            "name": "R-easyNCDF",
            "description": "Tools to easily read/write NetCDF files into/from multidimensional R arrays"
        },
        {
            "name": "R-easystats",
            "description": "Framework for easy statistical modelling, visualization and reporting"
        },
        {
            "name": "R-ebal",
            "description": "Entropy reweighting to create balanced samples"
        },
        {
            "name": "R-ebdbNet",
            "description": "Empirical Bayes Estimation of Dynamic Bayesian Networks"
        },
        {
            "name": "R-EBEN",
            "description": "Empirical Bayesian Elastic Net"
        },
        {
            "name": "R-EBglmnet",
            "description": "Empirical Bayesian lasso and elastic net methods for generalized linear models"
        },
        {
            "name": "R-EBImage",
            "description": "Image processing and analysis toolbox for R"
        },
        {
            "name": "R-ebmstate",
            "description": "Empirical Bayes Multi-state Cox model"
        },
        {
            "name": "R-ebnm",
            "description": "Solve the Empirical Bayes Normal Means problem"
        },
        {
            "name": "R-ebreg",
            "description": "Implementation of the Empirical Bayes method"
        },
        {
            "name": "R-eBsc",
            "description": "Empirical Bayes smoothing splines with correlated errors"
        },
        {
            "name": "R-ebTobit",
            "description": "Empirical Bayesian tobit matrix estimation"
        },
        {
            "name": "R-ecd",
            "description": "Elliptic Lambda distribution and option pricing model"
        },
        {
            "name": "R-Ecdat",
            "description": "Data-sets for econometrics"
        },
        {
            "name": "R-Ecfun",
            "description": "Functions for R-Ecdat"
        },
        {
            "name": "R-echo",
            "description": "Capture code evaluations and script executions by expressions, outputs and condition calls for logging"
        },
        {
            "name": "R-echoice2",
            "description": "Choice models based on economic theory"
        },
        {
            "name": "R-ECOSolveR",
            "description": "Embedded Conic Solver in R"
        },
        {
            "name": "R-ecp",
            "description": "Non-parametric multiple change-point analysis of multivariate data"
        },
        {
            "name": "R-edgeR",
            "description": "Empirical analysis of digital gene expression data in R"
        },
        {
            "name": "R-EDISON",
            "description": "Network reconstruction and changepoint detection"
        },
        {
            "name": "R-EDMeasure",
            "description": "Energy-based dependence measures"
        },
        {
            "name": "R-edstan",
            "description": "Stan models for item response theory"
        },
        {
            "name": "R-eff2",
            "description": "Efficient least squares for total causal effects"
        },
        {
            "name": "R-effClust",
            "description": "Calculate effective number of clusters for a linear model"
        },
        {
            "name": "R-effects",
            "description": "Effect displays for linear, generalized linear and other models"
        },
        {
            "name": "R-effectsize",
            "description": "Indices of effect size"
        },
        {
            "name": "R-effsize",
            "description": "Efficient effect size computation"
        },
        {
            "name": "R-eFRED",
            "description": "Fetch data from the Federal Reserve Economic Database"
        },
        {
            "name": "R-egg",
            "description": "Miscellaneous functions to help customise ggplot2 objects"
        },
        {
            "name": "R-eglhmm",
            "description": "Extended generalised linear hidden Markov models"
        },
        {
            "name": "R-eha",
            "description": "Event History Analysis"
        },
        {
            "name": "R-eicm",
            "description": "Explicit Interaction Community Models"
        },
        {
            "name": "R-eigenmodel",
            "description": "Semi-parametric factor and regression models for symmetric relational data"
        },
        {
            "name": "R-EigenR",
            "description": "Complex Matrix Algebra with Eigen"
        },
        {
            "name": "R-eikosograms",
            "description": "Picture of probability"
        },
        {
            "name": "R-eimpute",
            "description": "Efficiently impute large scale incomplete matrix"
        },
        {
            "name": "R-einet",
            "description": "Methods and utilities for causal emergence"
        },
        {
            "name": "R-einsum",
            "description": "Einstein Summation"
        },
        {
            "name": "R-EIX",
            "description": "Explain interactions in XGBoost"
        },
        {
            "name": "R-elasticnet",
            "description": "Elastic net for sparse estimation and sparse PCA"
        }
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