All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

EGRNi — 0.1.6

Ensemble Gene Regulatory Network Inference

eGST — 1.0.0

Leveraging eQTLs to Identify Individual-Level Tissue of Interest for a Complex Trait

eha — 2.11.5

Event History Analysis

ehaGoF — 0.1.1

Calculates Goodness of Fit Statistics

eHDPrep — 1.3.3

Quality Control and Semantic Enrichment of Datasets

ehelp — 1.2.1

Enhanced Help to Enable "Docstring"-Comments in Users Functions

eHOF — 1.15

Extended HOF (Huisman-Olff-Fresco) Models

EHR — 0.4-11

Electronic Health Record (EHR) Data Processing and Analysis Tool

EHRtemporalVariability — 1.2.1

Delineating Temporal Dataset Shifts in Electronic Health Records

ehymet — 0.1.0

Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

ei — 1.3-3

Ecological Inference

ei.Datasets — 0.0.1-3

Real Datasets for Assessing Ecological Inference Algorithms

eia — 0.4.2

API Wrapper for U.S. Energy Information Administration ('EIA') Open Data

EIAapi — 0.1.2

Query Data from the 'EIA' API

eiCircles — 0.0.1-7

Ecological Inference of RxC Tables by Overdispersed-Multinomial Models

eicm — 1.0.3

Explicit Interaction Community Models

eider — 1.0.0

Declarative Feature Extraction from Tabular Data Records

EIEntropy — 0.0.1.3

Ecological Inference Applying Entropy

eiExpand — 1.0.5

Utilities for Expanding Functionality of 'eiCompare'

eigenmodel — 1.11

Semiparametric Factor and Regression Models for Symmetric Relational Data

EigenR — 1.3.0

Complex Matrix Algebra with 'Eigen'

eikosograms — 0.1.1

The Picture of Probability

eimpute — 0.2.4

Efficiently Impute Large Scale Incomplete Matrix

einet — 0.1.0

Effective Information and Causal Emergence

einsum — 0.1.2

Einstein Summation

eiopaR — 0.1.1

Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA

eiPack — 0.2-2

Ecological Inference and Higher-Dimension Data Management

eirm — 0.5

Explanatory Item Response Modeling for Dichotomous and Polytomous Items

eive — 3.1.3

An Algorithm for Reducing Errors-in-Variable Bias in Simple and Multiple Linear Regressions

eivtools — 0.1-8

Measurement Error Modeling Tools

EIX — 1.2.0

Explain Interactions in 'XGBoost'

eixport — 0.6.2

Export Emissions to Atmospheric Models

EKMCMC — 1.1.2

MCMC Procedures for Estimating Enzyme Kinetics Constants

eks — 1.0.5

Tidy and Geospatial Kernel Smoothing

EL — 1.3

Two-Sample Empirical Likelihood

EL2Surv — 1.1

Empirical Likelihood (EL) for Comparing Two Survival Functions

elaborator — 1.3.4

A 'shiny' Application for Exploring Laboratory Data

elasdics — 1.1.3

Elastic Analysis of Sparse, Dense and Irregular Curves

elasso — 1.1

Enhanced Least Absolute Shrinkage and Selection Operator Regression Model

elastes — 0.1.7

Elastic Full Procrustes Means for Sparse and Irregular Planar Curves

elastic — 1.2.0

General Purpose Interface to 'Elasticsearch'

elasticnet — 1.3

Elastic-Net for Sparse Estimation and Sparse PCA

elec — 0.1.2.2

Collection of Functions for Statistical Election Audits

EleChemr — 1.2.0

Electrochemical Reactions Simulation

elect — 1.2

Estimation of Life Expectancies Using Multi-State Models

ElectDecomp — 0.0.1-1

Decomposition of Seats-to-Votes Distortion in Multimember Elections

elections — 1.0.1

USA Presidential Elections Data

elections.dtree — 2.0.0

Ranked Voting Election Audits with Dirichlet-Trees

electionsBR — 0.4.0

R Functions to Download and Clean Brazilian Electoral Data

electivity — 1.0.2

Algorithms for Electivity Indices

electoral — 0.1.3

Allocating Seats Methods and Party System Scores

elevatr — 0.99.0

Access Elevation Data from Various APIs

ElevDistr — 1.0.9

Calculate the Distance to the Nearest Local Treeline

elexr — 1.0

Load Associated Press Election Results with Elex

elfDistr — 1.0.0

Kumaraswamy Complementary Weibull Geometric (Kw-CWG) Probability Distribution

elgbd — 0.9.0

Empirical Likelihood for General Block Designs

elhmc — 1.2.1

Sampling from a Empirical Likelihood Bayesian Posterior of Parameters Using Hamiltonian Monte Carlo

ELISAtools — 0.1.5

ELISA Data Analysis with Batch Correction

elisr — 0.1.1

Exploratory Likert Scaling

eList — 0.2.0

List Comprehension and Tools

elitism — 1.1.1

Equipment for Logarithmic and Linear Time Stepwise Multiple Hypothesis Testing

Elja — 1.0.0

Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach

elliplot — 1.3.0

Ellipse Summary Plot of Quantiles

ellipse — 0.5.0

Functions for Drawing Ellipses and Ellipse-Like Confidence Regions

ellipsis — 0.3.2

Tools for Working with ...

ElliptCopulas — 0.1.4.1

Inference of Elliptical Distributions and Copulas

elliptic — 1.4-0

Weierstrass and Jacobi Elliptic Functions

ellipticalsymmetry — 0.1.2

Elliptical Symmetry Tests

elmNNRcpp — 1.0.4

The Extreme Learning Machine Algorithm

ELMR — 1.0

Extreme Machine Learning (ELM)

ELMSO — 1.0.1

Implementation of the Efficient Large-Scale Online Display Advertising Algorithm

eLNNpairedCov — 0.3.2

Model-Based Gene Selection for Paired Data

elo — 3.0.2

Ranking Teams by Elo Rating and Comparable Methods

EloChoice — 0.29.4

Preference Rating for Visual Stimuli Based on Elo Ratings

EloOptimized — 0.3.2

Optimized Elo Rating Method for Obtaining Dominance Ranks

EloRating — 0.46.18

Animal Dominance Hierarchies by Elo Rating

EloSteepness — 0.5.0

Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores

elsa — 1.1-28

Entropy-Based Local Indicator of Spatial Association

ELT — 1.7

Experience Life Tables

eltr — 0.1.0

Utilise Catastrophe Model Event Loss Table Outputs

ELYP — 0.7-5

Empirical Likelihood Analysis for the Cox Model and Yang-Prentice (2005) Model

em — 1.0.0

Generic EM Algorithm

EM.Fuzzy — 1.0

EM Algorithm for Maximum Likelihood Estimation by Non-Precise Information

emailjsr — 0.0.2

'emailjs' Support

emailvalidation — 0.1.0

Client for the 'emailalvalidation.io' E-Mail Validation API

EMAR — 1.0.0

Empirical Model Assessment

EMAS — 0.2.2

Epigenome-Wide Mediation Analysis Study

emayili — 0.9.1

Send Email Messages

emBayes — 0.1.6

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 — 9.5

Tools to Analyze the Thermal Reaction Norm of Embryo Growth

EMC2 — 2.1.0

Bayesian Hierarchical Analysis of Cognitive Models of Choice

EMCluster — 0.2-16

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 — 2.2.2

Estimating and Mapping Disaggregated Indicators

emdist — 0.3-3

Earth Mover's Distance

Next page