All packages

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redditadsR — 0.1.0

Get Reddit Ads Data via the 'Windsor.ai' API

RedditExtractoR — 3.0.9

Reddit Data Extraction Toolkit

reddPrec — 2.0.3

Reconstruction of Daily Data - Precipitation

REddyProc — 1.3.3

Post Processing of (Half-)Hourly Eddy-Covariance Measurements

REddyProcNCDF — 1.1.4

Reading Data from NetCDF Files for 'REddyProc'

REDI — 1.0.0

Robust Exponential Decreasing Index

ReDirection — 1.0.1

Predict Dominant Direction of Reactions of a Biochemical Network

RedisBaseContainer — 1.0.1

The Container for the DockerParallel Package

Rediscover — 0.3.2

Identify Mutually Exclusive Mutations

redist — 4.2.0

Simulation Methods for Legislative Redistricting

redistmetrics — 1.0.7

Redistricting Metrics

redistverse — 0.1.0

Easily Install and Load Redistricting Software

redland — 1.0.17-18

RDF Library Bindings in R

redlistr — 1.0.4

Tools for the IUCN Red List of Ecosystems and Species

rEDM — 1.15.4

Empirical Dynamic Modeling ('EDM')

Redmonder — 0.2.0

Microsoft(r)-Inspired Color Palettes

redoc — 2.0.0.75

Generates 'Redoc' Documentation from an 'OpenAPI' Specification

redux — 1.1.4

R Bindings to 'hiredis'

REEMtree — 0.90.5

Regression Trees with Random Effects for Longitudinal (Panel) Data

ref.ICAR — 2.0.1

Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data

REFA — 0.1.0

Robust Exponential Factor Analysis

RefBasedMI — 0.2.0

Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation

refer — 0.1.0

Create Object References

referenceIntervals — 1.3.1

Reference Intervals

REffectivePred — 1.0.1

Pandemic Prediction Model in an SIRS Framework

refineR — 1.6.2

Reference Interval Estimation using Real-World Data

refinr — 0.3.3

Cluster and Merge Similar Values Within a Character Vector

refitME — 1.2.2

Measurement Error Modelling using MCEM

reflectR — 2.1.3

Automatic Scoring of the Cognitive Reflection Test

reflimR — 1.0.6

Reference Limit Estimation Using Routine Laboratory Data

RefManageR — 1.4.0

Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management

reformulas — 0.4.0

Machinery for Processing Random Effect Formulas

refreg — 0.1.1

Conditional Multivariate Reference Regions

refreshr — 0.1.0

Work with Refreshable Datasets that Update their Data Automatically

refseqR — 1.1.5

Common Computational Operations Working with RefSeq Entries (GenBank)

refset — 0.1.1

Subsets with Reference Semantics

refuge — 0.3.3

Locate Trans and Intersex-Friendly Toilets

refugees — 2024.6.0

UNHCR Refugee Population Statistics Database

refund — 0.1-37

Regression with Functional Data

refund.shiny — 1.0

Interactive Plotting for Functional Data Analyses

RegAssure — 1.0.0

Streamlined Integration of Regression Assumption

regclass — 1.6

Tools for an Introductory Class in Regression and Modeling

RegCombin — 0.4.1

Partially Linear Regression under Data Combination

regda — 1.0

Regularised Discriminant Analysis

regDIF — 1.1.1

Regularized Differential Item Functioning

REGENT — 1.0.6

Risk Estimation for Genetic and Environmental Traits

regexPipes — 0.0.1

Wrappers Around 'base::grep()' for Use with Pipes

regexSelect — 1.0.0

Regular Expressions in 'shiny' Select Lists

reghelper — 1.1.2

Helper Functions for Regression Analysis

regional — 0.4.4

Intra- and Inter-Regional Similarity

regioncode — 0.1.2

Convert Region Names and Division Codes of China Over Years

regions — 0.1.8

Processing Regional Statistics

registr — 2.1.0

Curve Registration for Exponential Family Functional Data

registry — 0.5-1

Infrastructure for R Package Registries

RegKink — 0.1.0

Regression Kink with a Time-Varying Threshold

reglogit — 1.2-7

Simulation-Based Regularized Logistic Regression

regmed — 2.1.0

Regularized Mediation Analysis

regmedint — 1.0.1

Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms

regmhmm — 1.0.0

'regmhmm' Fits Hidden Markov Models with Regularization

regMMD — 0.0.1

Robust Regression and Estimation Through Maximum Mean Discrepancy Minimization

regnet — 1.0.1

Network-Based Regularization for Generalized Linear Models

rego — 1.6.1

Automatic Time Series Forecasting and Missing Value Imputation

regplot — 1.1

Enhanced Regression Nomogram Plot

regport — 0.3.0

Regression Model Processing Port

regr.easy — 1.0.2

Easy Linear, Quadratic and Cubic Regression Models

regrap — 1.0.1

Reverse Graphical Approaches

RegrCoeffsExplorer — 1.1.0

Efficient Visualization of Regression Coefficients for lm(), glm(), and glmnet() Objects

regreplaceR — 0.1.0

Match and Replace Strings Based on Named Groups in Regular Expressions

regress — 1.3-21

Gaussian Linear Models with Linear Covariance Structure

regressinator — 0.2.0

Simulate and Diagnose (Generalized) Linear Models

RegressionFactory — 0.7.4

Expander Functions for Generating Full Gradient and Hessian from Single-Slot and Multi-Slot Base Distributions

regressoR — 4.0.3

Regression Data Analysis System

regrrr — 0.1.3

Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results

regRSM — 0.5

Random Subspace Method (RSM) for Linear Regression

RegSDC — 0.7.0

Information Preserving Regression-Based Tools for Statistical Disclosure Control

regsem — 1.9.5

Regularized Structural Equation Modeling

regspec — 2.7

Non-Parametric Bayesian Spectrum Estimation for Multirate Data

regsubseq — 0.12

Detect and Test Regular Sequences and Subsequences

regtomean — 1.1

Regression Toward the Mean

regtools — 1.7.0

Regression and Classification Tools

rehh — 3.2.2

Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests

rehh.data — 1.0.0

Data Only: Searching for Footprints of Selection using Haplotype Homozygosity Based Tests

rehydratoR — 0.5.2

Downloads Tweets from a List of Tweet IDs

ReinforcementLearning — 1.0.5

Model-Free Reinforcement Learning

ReIns — 1.0.14

Functions from "Reinsurance: Actuarial and Statistical Aspects"

reinstallr — 0.1.5

Search and Install Missing Packages

reinsureR — 0.1.0

Reinsurance Treaties Application

relaimpo — 2.2-7

Relative Importance of Regressors in Linear Models

relatable — 1.0.0

Functions for Mapping Key-Value Pairs, Many-to-Many, One-to-Many, and Many-to-One Relations

Relatedness — 2.0

Maximum Likelihood Estimation of Relatedness using EM Algorithm

relations — 0.6-14

Data Structures and Algorithms for Relations

relcircle — 1.0

Draw Regulatory Relationships Between Genes

reldist — 1.7-2

Relative Distribution Methods

RelDists — 1.0.0

Estimation for some Reliability Distributions

Relectoral — 0.1.0

Electoral Analysis

relevance — 2.1

Calculate Relevance and Significance Measures

relevent — 1.2-1

Relational Event Models

relgam — 1.0

Reluctant Generalized Additive Models

reliabilitydiag — 0.2.1

Reliability Diagrams Using Isotonic Regression

ReliabilityTheory — 0.3.1

Structural Reliability Analysis

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