All packages

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EMAR — 1.0.0

Empirical Model Assessment

EMAS — 0.2.2

Epigenome-Wide Mediation Analysis Study

EMAtools — 0.1.4

Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment Data

emayili — 0.8.0

Send Email Messages

emBayes — 0.1.5

Robust Bayesian Variable Selection via Expectation-Maximization

EMbC — 2.0.4

Expectation-Maximization Binary Clustering

embed — 1.1.4

Extra Recipes for Encoding Predictors

EmbedSOM — 2.1.2

Fast Embedding Guided by Self-Organizing Map

embryogrowth — 9.1

Tools to Analyze the Thermal Reaction Norm of Embryo Growth

EMCluster — 0.2-15

EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

EMD — 1.5.9

Empirical Mode Decomposition and Hilbert Spectral Analysis

EMDANNhybrid — 0.2.0

Empirical Mode Decomposition Based Artificial Neural Network Model

emdbook — 1.3.13

Support Functions and Data for "Ecological Models and Data"

emdi — 2.2.1

Estimating and Mapping Disaggregated Indicators

emdist — 0.3-3

Earth Mover's Distance

EMDSVRhybrid — 0.2.0

Empirical Mode Decomposition Based Support Vector Regression Model

emery — 0.5.1

Accuracy Statistic Estimation for Imperfect Gold Standards

emg — 1.0.9

Exponentially Modified Gaussian (EMG) Distribution

EMgaussian — 0.2.1

Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data

emhawkes — 0.9.7

Exponential Multivariate Hawkes Model

EmiR — 1.0.4

Evolutionary Minimizer for R

EmissV — 0.665.6.6

Tools for Create Emissions for Air Quality Models

EmiStatR — 1.2.3.0

Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems

EMJMCMC — 1.5.0

Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox

EML — 2.0.6.1

Read and Write Ecological Metadata Language Files

emld — 0.5.1

Ecological Metadata as Linked Data

EMLI — 0.2.0

Computationally Efficient Maximum Likelihood Identification of Linear Dynamical Systems

EMMAgeo — 0.9.7

End-Member Modelling of Grain-Size Data

emmeans — 1.10.1

Estimated Marginal Means, aka Least-Squares Means

EMMIXgene — 0.1.4

A Mixture Model-Based Approach to the Clustering of Microarray Expression Data

EMMIXmfa — 2.0.14

Mixture Models with Component-Wise Factor Analyzers

EMMIXSSL — 1.1.1

Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism

EMMLi — 0.0.3

A Maximum Likelihood Approach to the Analysis of Modularity

EMMREML — 3.1

Fitting Mixed Models with Known Covariance Structures

emoa — 0.5-2

Evolutionary Multiobjective Optimization Algorithms

emoji — 15.0

Data and Function to Work with Emojis

emojifont — 0.5.5

Emoji and Font Awesome in Graphics

emon — 1.3.2

Tools for Environmental and Ecological Survey Design

emov — 0.1.1

Eye Movement Analysis Package for Fixation and Saccade Detection

EMP — 2.0.5

Expected Maximum Profit Classification Performance Measure

EMpeaksR — 0.3.1

Conducting the Peak Fitting Based on the EM Algorithm

empichar — 1.0.1

Evaluates the Empirical Characteristic Function for Multivariate Samples

EmpiricalCalibration — 3.1.2

Routines for Performing Empirical Calibration of Observational Study Estimates

emplik — 1.3-1

Empirical Likelihood Ratio for Censored/Truncated Data

emplik2 — 1.32

Empirical Likelihood Ratio Test for Two Samples with Censored Data

emplikAUC — 0.3

Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC

ems — 1.3.11

Epimed Solutions Collection for Data Editing, Analysis, and Benchmark of Health Units

EMSaov — 2.3

The Analysis of Variance with EMS

EMSC — 0.9.4

Extended Multiplicative Signal Correction

EMSNM — 1.0

EM Algorithm for Sigmoid Normal Model

EMSS — 1.1.1

Some EM-Type Estimation Methods for the Heckman Selection Model

emstreeR — 3.1.2

Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees

EMT — 1.3.1

Exact Multinomial Test: Goodness-of-Fit Test for Discrete Multivariate Data

emulator — 1.2-24

Bayesian Emulation of Computer Programs

emuR — 2.5.0

Main Package of the EMU Speech Database Management System

EncDNA — 1.0.2

Encoding of Nucleotide Sequences into Numeric Feature Vectors

eNchange — 1.0

Ensemble Methods for Multiple Change-Point Detection

encode — 0.3.6

Represent Ordered Lists and Pairs as Strings

EncompassTest — 0.22

Direct Multi-Step Forecast Based Comparison of Nested Models via an Encompassing Test

encryptedRmd — 0.2.1

Encrypt Html Reports Using 'Libsodium'

encryptr — 0.1.3

Easily Encrypt and Decrypt Data Frame/Tibble Columns or Files using RSA Public/Private Keys

endogeneity — 2.1.3

Recursive Two-Stage Models to Address Endogeneity

endogenous — 1.0

Classical Simultaneous Equation Models

endorse — 1.6.2

Bayesian Measurement Models for Analyzing Endorsement Experiments

endoSwitch — 1.0.0

Endogenous Switching Regression Models

endtoend — 2.29

Transmissions and Receptions in an End to End Network

energy — 1.7-11

E-Statistics: Multivariate Inference via the Energy of Data

EnergyOnlineCPM — 1.0

Distribution Free Multivariate Control Chart Based on Energy Test

energyr — 0.1.2

Data Published by the United States Federal Energy Regulatory Commission

enerscape — 1.1.0

Compute Energy Landscapes

enetLTS — 1.1.0

Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression

english — 1.2-6

Translate Integers into English

EngrEcon — 1.0.0

Engineering Economics Analysis for Engineering Projects Cost Analysis

engression — 0.1.4

Engression Modelling

EngrExpt — 0.1-8

Data sets from "Introductory Statistics for Engineering Experimentation"

ENMeval — 2.0.4

Automated Tuning and Evaluations of Ecological Niche Models

enmpa — 0.1.5

Ecological Niche Modeling using Presence-Absence Data

enmSdmX — 1.1.2

Species Distribution Modeling and Ecological Niche Modeling

ENMTools — 1.1.2

Analysis of Niche Evolution using Niche and Distribution Models

enpls — 6.1

Ensemble Partial Least Squares Regression

EnrichIntersect — 0.7

Enrichment Analysis and Intersecting Sankey Diagram

enrichR — 3.2

Provides an R Interface to 'Enrichr'

enrichwith — 0.3.1

Methods to Enrich R Objects with Extra Components

EnsCat — 1.1

Clustering of Categorical Data

EnsembleBase — 1.0.2

Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling

ensembleBMA — 5.1.8

Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

EnsembleCV — 0.8

Extensible Package for Cross-Validation-Based Integration of Base Learners

ensembleMOS — 0.8.2

Ensemble Model Output Statistics

EnsemblePCReg — 1.1.4

Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning

EnsemblePenReg — 0.7

Extensible Classes and Methods for Penalized-Regression-Based Integration of Base Learners

ensemblepp — 1.0-0

Ensemble Postprocessing Data Sets

ensembleR — 0.1.0

Ensemble Models in R

ensembleTax — 1.1.1

Ensemble Taxonomic Assignments of Amplicon Sequencing Data

enshuman — 1.0.0

Human Gene Annotation Data from 'Ensembl'

ensr — 0.1.0

Elastic Net SearcheR

entropart — 1.6-13

Entropy Partitioning to Measure Diversity

EntropicStatistics — 0.1.0

Functions Based on Entropic Statistics

entropy — 1.3.1

Estimation of Entropy, Mutual Information and Related Quantities

EntropyEstimation — 1.2

Estimation of Entropy and Related Quantities

EntropyMCMC — 1.0.4

MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation

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