All packages

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recluster — 2.9

Ordination Methods for the Analysis of Beta-Diversity Indices

recmap — 1.0.17

Compute the Rectangular Statistical Cartogram

recmetrics — 0.1.0

Psychometric Evaluation Using Relative Excess Correlations

Recocrop — 0.4-1

Estimating Environmental Suitability for Plants

recodeflow — 0.1.0

Interface Functions for PMML Creation, and Data Recoding

recogito — 0.2.1

Interactive Annotation of Text and Images

recolorize — 0.1.0

Color-Based Image Segmentation

recombinator — 1.0.1

Recombinate Nested Lists to Dataframes

recometrics — 0.1.6-3

Evaluation Metrics for Implicit-Feedback Recommender Systems

recommenderlab — 1.0.6

Lab for Developing and Testing Recommender Algorithms

recommenderlabBX — 0.2-0

Book-Crossing Dataset (BX) for 'recommenderlab'

recommenderlabJester — 0.2-0

Jester Dataset for 'recommenderlab'

Recon — 0.3.0.0

Computational Tools for Economics

reconstructKM — 0.3.0

Reconstruct Individual-Level Data from Published KM Plots

reconstructr — 2.0.4

Session Reconstruction and Analysis

recorder — 0.8.2

Toolkit to Validate New Data for a Predictive Model

RecordLinkage — 0.4-12.4

Record Linkage Functions for Linking and Deduplicating Data Sets

Records — 1.0

Record Values and Record Times

RecordTest — 2.2.0

Inference Tools in Time Series Based on Record Statistics

recosystem — 0.5.1

Recommender System using Matrix Factorization

recurrentpseudo — 1.0.0

Creates Pseudo-Observations and Analysis for Recurrent Event Data

recurse — 1.4.0

Computes Revisitation Metrics for Trajectory Data

red — 1.6.1

IUCN Redlisting Tools

reda — 0.5.4

Recurrent Event Data Analysis

ReDaMoR — 0.7.6

Relational Data Modeler

REdaS — 0.9.4

Companion Package to the Book 'R: Einführung durch angewandte Statistik'

redbookperu — 0.0.3

Access and Analyze Data from the Red Book of Endemic Plants of Peru

redcapAPI — 2.9.1

Interface to 'REDCap'

REDCapCAST — 24.6.1

REDCap Castellated Data Handling

REDCapDM — 0.9.9

'REDCap' Data Management

REDCapExporter — 0.2.2

Automated Construction of R Data Packages from REDCap Projects

REDCapR — 1.2.0

Interaction Between R and REDCap

REDCapTidieR — 1.1.1

Extract 'REDCap' Databases into Tidy 'Tibble's

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 — 1.0.0

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 — 0.3.0

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 — 1.1.4

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 — 2023.12.0

UNHCR Refugee Population Statistics Database

refund — 0.1-35

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

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

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

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