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"name": "R-ess",
"description": "Efficient step-wise selection in decomposable models"
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"name": "R-estimability",
"description": "Tools for assessing estimability of linear predictions"
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"name": "R-estimatr",
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"name": "R-estmeansd",
"description": "Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis"
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"name": "R-etm",
"description": "Empirical Transition Matrix"
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{
"name": "R-etrunct",
"description": "Computes moments of univariate truncated t distribution"
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{
"name": "R-etwfe",
"description": "Extended Two-Way Fixed Effects"
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{
"name": "R-eulerian",
"description": "Find Eulerian paths from graphs"
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{
"name": "R-eulerr",
"description": "Area-proportional Euler and Venn diagrams with ellipses"
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"name": "R-evaluate",
"description": "Parsing and evaluation tools"
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{
"name": "R-EValue",
"description": "Sensitivity analyses for unmeasured confounding and other biases in observational studies and meta-analyses"
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"name": "R-evclass",
"description": "Evidential distance-based classification"
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{
"name": "R-evclust",
"description": "Evidential Clustering"
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"name": "R-evd",
"description": "Functions for extreme value distributions"
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{
"name": "R-evdbayes",
"description": "Bayesian analysis in extreme value theory"
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"name": "R-event",
"description": "Event history procedures and models"
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"name": "R-eventPred",
"description": "Event Prediction"
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"description": "Generalised additive extreme value models"
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"name": "R-evinf",
"description": "Inference with extreme value inflated count data"
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"name": "R-evir",
"description": "Extreme Values in R"
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"name": "R-evmix",
"description": "Extreme value mixture modelling, threshold estimation and boundary-corrected kernel density estimation"
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"description": "Evidential neural network for regression"
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"name": "R-Exact",
"description": "Unconditional exact test"
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"description": "Exact p-values and matching confidence intervals for simple discrete parametric cases"
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"name": "R-exactextractr",
"description": "Fast extraction from Raster datasets using polygons"
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"name": "R-exactRankTests",
"description": "Exact distributions for rank and permutation tests"
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"name": "R-exampletestr",
"description": "Help for writing unit tests based on function examples"
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{
"name": "R-exams",
"description": "Automatic generation of exams based on exercises in Markdown or LaTeX format"
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{
"name": "R-exdex",
"description": "Estimation of the extremal index"
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{
"name": "R-ExGaussEstim",
"description": "Quantile maximization likelihood estimation and Bayesian ex-Gaussian estimation"
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{
"name": "R-EXPARMA",
"description": "Fitting of exponential autoregressive moving average (EXPARMA) model"
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{
"name": "R-expectreg",
"description": "Expectile and quantile regression"
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"name": "R-ExperimentHub",
"description": "Client to access ExperimentHub resources"
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{
"name": "R-expint",
"description": "Exponential integral and incomplete Gamma function"
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"name": "R-explore",
"description": "Exploratory data analysis simplified"
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{
"name": "R-expm",
"description": "Matrix exponential, log etc."
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{
"name": "R-ExPosition",
"description": "Exploratory Analysis with the Singular Value Decomposition"
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"name": "R-ExprNet",
"description": "Characterizing differential expression of selected edges on a network"
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{
"name": "R-expsmooth",
"description": "Data sets from Forecasting with Exponential Smoothing (2008)"
},
{
"name": "R-expss",
"description": "Tables, labels and some useful functions from spreadsheets and SPSS Statistics"
},
{
"name": "R-ExtDist",
"description": "Extending the range of functions for probability distributions"
},
{
"name": "R-extendedFamily",
"description": "Additional families for generalized linear models"
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{
"name": "R-extraDistr",
"description": "Additional univariate and multivariate distributions"
},
{
"name": "R-extrafont",
"description": "Tools for using fonts"
},
{
"name": "R-extrafontdb",
"description": "Package for holding the database for the extrafont package"
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{
"name": "R-extraoperators",
"description": "Extra binary relational and logical operators"
},
{
"name": "R-extras",
"description": "Helper functions for Bayesian analyses"
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