All packages

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dynConfiR — 0.0.4

Dynamic Models for Confidence and Response Time Distributions

dynCorr — 1.1.0

Dynamic Correlation Package

dyndimred — 1.0.4

Dimensionality Reduction Methods in a Common Format

dynetNLAResistance — 0.1.0

Resisting Neighbor Label Attack in a Dynamic Network

DynForest — 1.2.0

Random Forest with Multivariate Longitudinal Predictors

dyngen — 1.0.5

A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses

dynlm — 0.3-6

Dynamic Linear Regression

dynmix — 2.1

Estimation of Dynamic Finite Mixtures

DynNom — 5.1

Visualising Statistical Models using Dynamic Nomograms

dynpanel — 0.1.0

Dynamic Panel Data Models

dynparam — 1.0.2

Creating Meta-Information for Parameters

dynpred — 0.1.2

Companion Package to "Dynamic Prediction in Clinical Survival Analysis"

dynprog — 0.1.1

Dynamic Programming Domain-Specific Language

dynr — 0.1.16-105

Dynamic Models with Regime-Switching

dynRB — 0.18

Dynamic Range Boxes

dynsim — 1.2.3

Dynamic Simulations of Autoregressive Relationships

dynsurv — 0.4-7

Dynamic Models for Survival Data

dyntaper — 1.1

Dynamic Stem Profile Models, AKA Tree Taper Equations

DynTxRegime — 4.15

Methods for Estimating Optimal Dynamic Treatment Regimes

dynutils — 1.0.11

Common Functionality for the 'dynverse' Packages

dynwrap — 1.2.4

Representing and Inferring Single-Cell Trajectories

dySEM — 1.1.1

Dyadic Structural Equation Modeling

DysPIA — 1.3

Dysregulated Pathway Identification Analysis

DysPIAData — 0.1.2

Background and Pathway Data Used in 'DysPIA'

DySS — 1.0

Dynamic Screening Systems

e1071 — 1.7-16

Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

E4tools — 0.1.1

Management and Processing Tools for Data Produced by the Empatica E4

eadrm — 0.1.4

Fitting Dose-Response Models Using an Evolutionary Algorithm

eaf — 2.5.1

Plots of the Empirical Attainment Function

Eagle — 2.5

Multiple Locus Association Mapping on a Genome-Wide Scale

EAinference — 0.2.3

Estimator Augmentation and Simulation-Based Inference

eAnalytics — 0.3.1

Dynamic Web-Based Analytics for the Energy Industry

earlygating — 1.1

Properties of Bayesian Early Gating Designs

earlyR — 0.0.5

Estimation of Transmissibility in the Early Stages of a Disease Outbreak

earlywarnings — 1.1.29

Early Warning Signals for Critical Transitions in Time Series

earth — 5.3.4

Multivariate Adaptive Regression Splines

earthdatalogin — 0.0.2

NASA 'EarthData' Login Utilities

earthtide — 0.1.7

Parallel Implementation of 'ETERNA 3.40' for Prediction and Analysis of Earth Tides

earthtones — 0.1.1

Derive a Color Palette from a Particular Location on Earth

Ease — 0.1.2

Simulating Explicit Population Genetics Models

easy.glmnet — 1.0

Functions to Simplify the Use of 'glmnet' for Machine Learning

easy.utils — 0.0.5

Frequently Used Functions for Easy R Programming

EasyABC — 1.5.2

Efficient Approximate Bayesian Computation Sampling Schemes

easyAHP — 0.1.1

Analytic Hierarchy Process (AHP)

easyalluvial — 0.3.2

Generate Alluvial Plots with a Single Line of Code

easyanova — 11.0

Analysis of Variance and Other Important Complementary Analyses

easybgm — 0.2.1

Extracting and Visualizing Bayesian Graphical Models

easybio — 1.1.0

Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit

easycensus — 1.1.1

Quickly Find, Extract, and Marginalize U.S. Census Tables

easyclimate — 0.2.2

Easy Access to High-Resolution Daily Climate Data for Europe

easyCODA — 0.40.2

Compositional Data Analysis in Practice

easycsv — 1.0.8

Load Multiple 'csv' and 'txt' Tables

easydb — 1.1.0

Easily Connect to Common Types of Databases

easyDes — 6.0

An Easy Way to Descriptive Analysis

EasyDescribe — 0.1.2

A Convenient Way of Descriptive Statistics

easyDifferentialGeneCoexpression — 1.4

Easily Performs Differential Coexpression Analysis

easylabel — 0.3.2

Interactive Scatter Plot and Volcano Plot Labels

EasyMx — 0.3-2

Easy Model-Builder Functions for 'OpenMx'

easyNCDF — 0.1.2

Tools to Easily Read/Write NetCDF Files into/from Multidimensional R Arrays

easynls — 5.0

Easy Nonlinear Model

easyORtables — 0.0.1

Easy Odds Ratio Tables

easypackages — 0.1.0

Easy Loading and Installing of Packages

easypower — 1.0.2

Sample Size Estimation for Experimental Designs

easyPSID — 0.1.2

Reading, Formatting, and Organizing the Panel Study of Income Dynamics (PSID)

easyPubMed — 2.13

Search and Retrieve Scientific Publication Records from PubMed

easyr — 0.5-11

Helpful Functions from Oliver Wyman Actuarial Consulting

easyreg — 4.0

Easy Regression

easySdcTable — 1.0.7

Easy Interface to the Statistical Disclosure Control Package 'sdcTable' Extended with Own Implementation of 'GaussSuppression'

easySimData — 0.1.0

A Wrapper of 'simdata' Package

easystats — 0.7.3

Framework for Easy Statistical Modeling, Visualization, and Reporting

easysurv — 2.0.1

Simplify Survival Data Analysis and Model Fitting

easySVG — 0.1.0

An Easy SVG Basic Elements Generator

easyVerification — 0.4.5

Ensemble Forecast Verification for Large Data Sets

eat — 0.1.4

Efficiency Analysis Trees

eatATA — 1.1.2

Create Constraints for Small Test Assembly Problems

eatDB — 0.5.0

Spreadsheet Interface for Relational Databases

eatGADS — 1.1.1

Data Management of Large Hierarchical Data

EATME — 0.1.0

Exponentially Weighted Moving Average with Adjustments to Measurement Error

eatRep — 0.15.0

Educational Assessment Tools for Replication Methods

eatTools — 0.7.8

Miscellaneous Functions for the Analysis of Educational Assessments

eba — 1.10-0

Elimination-by-Aspects Models

ebal — 0.1-8

Entropy Reweighting to Create Balanced Samples

EBASE — 1.1.0

Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism

EbayesThresh — 1.4-12

Empirical Bayes Thresholding and Related Methods

EBCHS — 0.1.0

An Empirical Bayes Method for Chi-Squared Data

ebci — 1.0.0

Robust Empirical Bayes Confidence Intervals

EBcoBART — 1.1.1

Co-Data Learning for Bayesian Additive Regression Trees

ebdbNet — 1.2.8

Empirical Bayes Estimation of Dynamic Bayesian Networks

EBEN — 5.2

Empirical Bayesian Elastic Net

ebGenotyping — 2.0.1

Genotyping and SNP Detection using Next Generation Sequencing Data

ebirdst — 3.2022.3

Access and Analyze eBird Status and Trends Data Products

EBMAforecast — 1.0.32

Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms

ebmc — 1.0.1

Ensemble-Based Methods for Class Imbalance Problem

ebmstate — 0.1.5

Empirical Bayes Multi-State Cox Model

ebnm — 1.1-2

Solve the Empirical Bayes Normal Means Problem

EBPRS — 2.1.0

Derive Polygenic Risk Score Based on Emprical Bayes Theory

EBrank — 1.0.0

Empirical Bayes Ranking

ebreg — 0.1.3

Implementation of the Empirical Bayes Method

eBsc — 4.17

"Empirical Bayes Smoothing Splines with Correlated Errors"

ebTobit — 1.0.2

Empirical Bayesian Tobit Matrix Estimation

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