All packages

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evidence — 0.8.10

Analysis of Scientific Evidence Using Bayesian and Likelihood Methods

evidenceFactors — 1.8

Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies

EvidenceSynthesis — 0.5.0

Synthesizing Causal Evidence in a Distributed Research Network

evident — 1.0.4

Evidence Factors in Observational Studies

EviewsR — 0.1.6

A Seamless Integration of 'EViews' and R

evilDice — 1.0

Test Dice Sets for Intransitive Properties

evinf — 0.8.10

Inference with Extreme Value Inflated Count Data

evir — 1.7-4

Extreme Values in R

evitaicossa — 0.0-1

Antiassociative Algebra

evmix — 2.12

Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation

evobiR — 1.1

Comparative and Population Genetic Analyses

evola — 1.0.2

Evolutionary Algorithm

evolMap — 1.2.33

Dynamic and Interactive Maps

evolqg — 0.3-4

Evolutionary Quantitative Genetics

EvolutionaryGames — 0.1.2

Important Concepts of Evolutionary Game Theory

evolvability — 2.0.0

Calculation of Evolvability Parameters

Evomorph — 0.9

Evolutionary Morphometric Simulation

evoper — 0.5.0

Evolutionary Parameter Estimation for 'Repast Simphony' Models

EvoPhylo — 0.3.2

Pre- And Postprocessing of Morphological Data from Relaxed Clock Bayesian Phylogenetics

evoTS — 1.0.3

Analyses of Evolutionary Time-Series

evprof — 1.1.2

Electric Vehicle Charging Sessions Profiling and Modelling

evreg — 1.1.1

Evidential Regression

evsim — 1.6.0

Electric Vehicle Charging Sessions Simulation

evt0 — 1.1.5

Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates

evtclass — 1.0

Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers

evtree — 1.0-8

Evolutionary Learning of Globally Optimal Trees

EWGoF — 2.2.2

Goodness-of-Fit Tests for the Exponential and Two-Parameter Weibull Distributions

ewoc — 0.3.0

Escalation with Overdose Control

EWOC.Comb — 1.0

Escalation with Overdose Control using 2 Drug Combinations

ewp — 0.1.1

An Empirical Model for Underdispersed Count Data

EwR — 1.4

Econometrics with R

EWS — 0.2.0

Early Warning System

EWSmethods — 1.3.1

Forecasting Tipping Points at the Community Level

Exact — 3.3

Unconditional Exact Test

exact.n — 1.1.1

Exact Samples Sizes and Inference for Clinical Trials with Binary Endpoint

exact2x2 — 1.6.9

Exact Tests and Confidence Intervals for 2x2 Tables

exactamente — 0.1.1

Explore the Exact Bootstrap Method

exactci — 1.4-4

Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric Cases

ExactCIdiff — 2.1

Inductive Confidence Intervals for the Difference Between Two Proportions

ExactCIone — 1.0.5

Admissible Exact Intervals for One-Dimensional Discrete Distributions

ExactCox — 0.1.0

Exact Test and Exact Confidence Interval for the Cox Model

exactextractr — 0.10.0

Fast Extraction from Raster Datasets using Polygons

exactLTRE — 0.1.0

An Exact Method for Life Table Response Experiment (LTRE) Analysis

ExactMed — 0.3.0

Exact Mediation Analysis for Binary Outcomes

ExactMultinom — 0.1.2

Multinomial Goodness-of-Fit Tests

exactRankTests — 0.8-35

Exact Distributions for Rank and Permutation Tests

ExamPAData — 0.5.0

Data Sets for Predictive Analytics Exam

exampletestr — 1.7.3

Help for Writing Unit Tests Based on Function Examples

exams — 2.4-1

Automatic Generation of Exams in R

exams.forge — 1.0.10

Support for Compiling Examination Tasks using the 'exams' Package

exams.mylearn — 1.4

Question Generation in the 'MyLearn' XML Format

exams2forms — 0.1-0

Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents

exams2learnr — 0.1-0

Interface for 'exams' Exercises in 'learnr' Tutorials

exams2sakai — 0.4

Automatic Generation of Exams in R for 'Sakai'

ExceedanceTools — 1.3.6

Confidence/Credible Regions for Exceedance Sets and Contour Lines

exceedProb — 0.0.1

Confidence Intervals for Exceedance Probability

excel.link — 0.9.13

Convenient Data Exchange with Microsoft Excel

excel2eprime — 0.4.0

Split Sentences by Factors

exceldata — 0.1.1.3

Streamline Data Import, Cleaning and Recoding from 'Excel'

ExcelFunctionsR — 0.1.4

Imports Excel Functions to R

excelR — 0.4.0

A Wrapper of the 'JavaScript' Library 'jExcel'

ExcessMass — 1.0.1

Excess Mass Calculation and Plots

excessmort — 0.8.0

Excess Mortality

excluder — 0.5.1

Checks for Exclusion Criteria in Online Data

ExclusionTable — 1.1.0

Creating Tables of Excluded Observations

exCon — 0.2.5

Interactive Exploration of Contour Data

excursions — 2.5.8

Excursion Sets and Contour Credibility Regions for Random Fields

exdex — 1.2.3

Estimation of the Extremal Index

exdqlm — 0.1.3

Extended Dynamic Quantile Linear Models

executablePackeR — 0.0.2

Make 'shiny' App to Executable Program

ExGaussEstim — 0.1.2

Quantile Maximization Likelihood Estimation and Bayesian Ex-Gaussian Estimation

ExhaustiveSearch — 1.0.1

A Fast and Scalable Exhaustive Feature Selection Framework

exif — 0.1.0

Read EXIF Metadata from JPEGs

exifr — 0.3.2

EXIF Image Data in R

exiftoolr — 0.2.6

ExifTool Functionality from R

ExNRuleEnsemble — 0.1.1

A k Nearest Neibour Ensemble Based on Extended Neighbourhood Rule

ExpAnalysis3d — 0.1.2

Pacote Para Analise De Experimentos Com Graficos De Superficie Resposta

ExPanDaR — 0.5.3

Explore Your Data Interactively

expandFunctions — 0.1.0

Feature Matrix Builder

EXPAR — 0.1.0

Fitting of Exponential Autoregressive (EXPAR) Model

EXPARMA — 0.1.0

Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model

expDB — 0.1.0

Database for Experiment Dataset

ExpDE — 0.1.4

Modular Differential Evolution for Experimenting with Operators

ExpDes — 1.2.2

Experimental Designs Package

ExpDes.pt — 1.2.2

Pacote Experimental Designs (Portugues)

expectreg — 0.53

Expectile and Quantile Regression

experDesign — 0.4.0

Design Experiments for Batches

experiences — 0.1.1

Experience Research

experiment — 1.2.1

R Package for Designing and Analyzing Randomized Experiments

experimentr — 0.1.0

Datasets Used in Social Science Experiments: A Hands-on Introduction

ExpertChoice — 0.2.0

Design of Discrete Choice and Conjoint Analysis

ExpGenetic — 0.1.0

Non-Additive Expression Analysis of Hybrid Offspring

ExpImage — 0.10.1

Analysis of Images in Experiments

expint — 0.1-8

Exponential Integral and Incomplete Gamma Function

expirest — 0.1.6

Expiry Estimation Procedures

explainer — 1.0.2

Machine Learning Model Explainer

ExplainPrediction — 1.3.0

Explanation of Predictions for Classification and Regression Models

ExplodeLayout — 0.1.2

Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership

explor — 0.3.10

Interactive Interfaces for Results Exploration

exploratory — 0.3.31

A Tool for Large-Scale Exploratory Analyses

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