All packages

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EQL — 1.0-1

Extended-Quasi-Likelihood-Function (EQL)

equalCovs — 1.0

Testing the Equality of Two Covariance Matrices

Equalden.HD — 1.2

Testing the Equality of a High Dimensional Set of Densities

EQUALrepeat — 0.4.0

Algorithm Driven Time Series Analysis for Researchers without Coding Skills

EQUALSTATS — 0.5.0

Algorithm Driven Statistical Analysis for Researchers without Coding Skills

equaltestMI — 0.6.1

Examine Measurement Invariance via Equivalence Testing and Projection Method

equatags — 0.2.1

Equations to 'XML'

equate — 2.0.8

Observed-Score Linking and Equating

equateIRT — 2.5.0

IRT Equating Methods

equateMultiple — 1.0.0

Equating of Multiple Forms

equatiomatic — 0.3.3

Transform Models into 'LaTeX' Equations

equiBSPD — 0.1.0

Equivalent Estimation Balanced Split Plot Designs

equil2 — 1.0.0

Calculate Urinary Saturation with the EQUIL2 Algorithm

EquiSurv — 0.1.0

Modeling, Confidence Intervals and Equivalence of Survival Curves

EquiTrends — 1.0.0

Equivalence Testing for Pre-Trends in Difference-in-Differences Designs

equivalence — 0.7.2

Provides Tests and Graphics for Assessing Tests of Equivalence

equivalenceTest — 0.0.1.1

Equivalence Test for the Means of Two Normal Distributions

EQUIVNONINF — 1.0.2

Testing for Equivalence and Noninferiority

equivUMP — 0.1.1

Uniformly Most Powerful Invariant Tests of Equivalence

ER — 1.1.1

Effect + Residual Modelling

era — 0.4.1

Year-Based Time Scales

erah — 2.0.1

Automated Spectral Deconvolution, Alignment, and Metabolite Identification in GC/MS-Based Untargeted Metabolomics

eratosthenes — 0.0.2

Archaeological Synchronism

erboost — 1.4

Nonparametric Multiple Expectile Regression via ER-Boost

ercv — 1.0.1

Fitting Tails by the Empirical Residual Coefficient of Variation

ERDbuilder — 1.0.0

Entity Relationship Diagrams Builder

erer — 4.0

Empirical Research in Economics with R

erfe — 0.0.1

Fits Expectile Regression for Panel Fixed Effect Model

ergm — 4.6.0

Fit, Simulate and Diagnose Exponential-Family Models for Networks

ergm.count — 4.1.2

Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges

ergm.ego — 1.1.0

Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data

ergm.multi — 0.2.1

Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

ergm.rank — 4.1.1

Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data

ergMargins — 1.3

Process Analysis for Exponential Random Graph Models

ergmgp — 0.1-1

Tools for Modeling ERGM Generating Processes

ergmharris — 1.0

Local Health Department network data set

ergmito — 0.3-1

Exponential Random Graph Models for Small Networks

erify — 0.6.0

Check Arguments and Generate Readable Error Messages

eRm — 1.0-6

Extended Rasch Modeling

ern — 2.0.0

Effective Reproduction Number Estimation

ERP — 2.2

Significance Analysis of Event-Related Potentials Data

erp.easy — 1.1.0

Event-Related Potential (ERP) Data Exploration Made Easy

ERPeq — 0.1.0

Probabilistic Hazard Assessment

ERPM — 0.2.0

Exponential Random Partition Models

errorist — 0.1.2

Automatically Search Errors or Warnings

errorlocate — 1.1.1

Locate Errors with Validation Rules

errors — 0.4.2

Uncertainty Propagation for R Vectors

errum — 0.0.3

Exploratory Reduced Reparameterized Unified Model Estimation

ERSA — 0.1.4

Exploratory Regression 'Shiny' App

eRTG3D — 0.7.0

Empirically Informed Random Trajectory Generation in 3-D

es.dif — 1.0.2

Compute Effect Sizes of the Difference

esaddle — 0.0.7

Extended Empirical Saddlepoint Density Approximations

esaps — 0.2.2

Indicators of Electoral Systems and Party Systems

esback — 0.3.1

Expected Shortfall Backtesting

esc — 0.5.1

Effect Size Computation for Meta Analysis

escalation — 0.1.10

A Modular Approach to Dose-Finding Clinical Trials

esci — 1.0.5

Estimation Statistics with Confidence Intervals

EScvtmle — 0.0.2

Experiment-Selector CV-TMLE for Integration of Observational and RCT Data

esDesign — 1.0.3

Adaptive Enrichment Designs with Sample Size Re-Estimation

eSDM — 0.4.3

Ensemble Tool for Predictions from Species Distribution Models

eseis — 0.7.3

Environmental Seismology Toolbox

eselect — 1.1

Adaptive Clinical Trial Designs with Endpoint Selection and Sample Size Reassessment

esem — 2.0.0

Exploratory Structural Equation Modeling ESEM

esemifar — 2.0.1

Smoothing Long-Memory Time Series

ESG — 1.3

A Package for Asset Projection

eshrink — 0.1.2

Shrinkage for Effect Estimation

eSIR — 0.4.2

Extended State-Space SIR Models

esmisc — 0.0.3

Misc Functions of Eduard Szöcs

esmprep — 0.2.0

Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)

esmtools — 1.0.1

Preprocessing Experience Sampling Method (ESM) Data

espadon — 1.8.0

Easy Study of Patient DICOM Data in Oncology

esquisse — 2.0.1

Explore and Visualize Your Data Interactively

esreg — 0.6.2

Joint Quantile and Expected Shortfall Regression

ess — 1.1.2

Efficient Stepwise Selection in Decomposable Models

essentials — 0.1.0

Essential Functions not Included in Base R

essHist — 1.2.2

The Essential Histogram

essurvey — 1.0.8

Download Data from the European Social Survey on the Fly

estadistica — 0.2.3

Fundamentos De Estadistica Descriptiva e Inferencial

estatapi — 0.4.0

R Interface to e-Stat API

EstCRM — 1.6

Calibrating Parameters for the Samejima's Continuous IRT Model

ESTER — 0.2.0

Efficient Sequential Testing with Evidence Ratios

estimability — 1.5.1

Tools for Assessing Estimability of Linear Predictions

EstimateGroupNetwork — 0.3.1

Perform the Joint Graphical Lasso and Selects Tuning Parameters

estimateW — 0.0.1

Estimation of Spatial Weight Matrices

EstimationTools — 4.0.0

Maximum Likelihood Estimation for Probability Functions from Data Sets

estimators — 0.8.5

Parameter Estimation

estimatr — 1.0.4

Fast Estimators for Design-Based Inference

EstimDiagnostics — 0.0.3

Diagnostic Tools and Unit Tests for Statistical Estimators

estimraw — 1.0.0

Estimation of Four-Fold Table Cell Frequencies (Raw Data) from Effect Size Measures

estmeansd — 1.0.1

Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis

EstMix — 1.0.1

Tumor Clones Percentage Estimations

estprod — 1.2

Estimation of Production Functions

esvis — 0.3.1

Visualization and Estimation of Effect Sizes

et.nwfva — 0.1.1

Forest Yield Tables for Northwest Germany and their Application

etable — 1.3.1

Easy Table

ETAS — 0.6.1.1

Modeling Earthquake Data Using 'ETAS' Model

ETASbootstrap — 0.2.0

Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters

etasFLP — 2.2.2

Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description

ETC — 1.5

Equivalence to Control

ethnobotanyR — 0.1.9

Calculate Quantitative Ethnobotany Indices

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