All packages

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r.blip — 1.1

Bayesian Network Learning Improved Project

R.cache — 0.16.0

Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations

R.devices — 2.17.2

Unified Handling of Graphics Devices

R.filesets — 2.15.1

Easy Handling of and Access to Files Organized in Structured Directories

R.huge — 0.10.1

Methods for Accessing Huge Amounts of Data [deprecated]

r.jive — 2.4

Perform JIVE Decomposition for Multi-Source Data

R.matlab — 3.7.0

Read and Write MAT Files and Call MATLAB from Within R

R.methodsS3 — 1.8.2

S3 Methods Simplified

R.oo — 1.27.0

R Object-Oriented Programming with or without References

r.proxy — 0.1.3

Set Proxy in R Console

R.rsp — 0.46.0

Dynamic Generation of Scientific Reports

R.temis — 0.1.3

Integrated Text Mining Solution

R.utils — 2.12.3

Various Programming Utilities

R0 — 1.3-1

Estimation of R0 and Real-Time Reproduction Number from Epidemics

r02pro — 0.2

R Programming: Zero to Pro

R1magic — 0.3.4

Compressive Sampling: Sparse Signal Recovery Utilities

R2Addhaz — 0.1.0

R2 Measure of Explained Variation under the Additive Hazards Model

R2admb — 0.7.16.3

'ADMB' to R Interface Functions

R2BayesX — 1.1-5

Estimate Structured Additive Regression Models with 'BayesX'

R2BEAT — 1.0.5

Multistage Sampling Allocation and Sample Selection

r2country — 2.0.2.4.0

Country Data with Names, Capitals, Currencies, Populations, Time, Languages and so on

r2d2 — 1.0.2

Bivariate (Two-Dimensional) Confidence Region and Frequency Distribution

r2d3 — 0.2.6

Interface to 'D3' Visualizations

r2dictionary — 0.2

A Mini-Dictionary for 'R', 'Shiny' and 'Rmarkdown' Documents

r2dii.analysis — 0.4.0

Measure Climate Scenario Alignment of Corporate Loans

r2dii.data — 0.6.0

Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals

r2dii.match — 0.2.1

Tools to Match Corporate Lending Portfolios with Climate Data

r2dii.plot — 0.4.0

Visualize the Climate Scenario Alignment of a Financial Portfolio

R2DT — 0.2

Translation of Base R-Like Functions for 'data.table' Objects

r2fireworks — 0.1.0

Enhance Your 'Rmarkdown' and 'shiny' Apps with Dazzling Fireworks Celebrations

r2glmm — 0.1.2

Computes R Squared for Mixed (Multilevel) Models

R2HTML — 2.3.4

HTML Exportation for R Objects

R2jags — 0.8-9

Using R to Run 'JAGS'

r2mlm — 0.3.7

R-Squared Measures for Multilevel Models

R2MLwiN — 0.8-9

Running 'MLwiN' from Within R

R2OpenBUGS — 3.2-3.2.1

Running OpenBUGS from R

r2pmml — 0.29.0

Convert R Models to PMML

R2PPT — 2.2.0

Simple R Interface to Microsoft PowerPoint using RDCOMClient

r2pptx — 0.1.0

Object Oriented R -> PowerPoint

r2r — 0.1.2

R-Object to R-Object Hash Maps

r2redux — 1.0.17

R2 Statistic

r2resize — 1.9.1

In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents

R2ROC — 1.0.1

AUC Statistics

r2rtf — 1.1.1

Easily Create Production-Ready Rich Text Format (RTF) Table and Figure

R2sample — 2.2.0

Various Methods for the Two Sample Problem

r2shortcode — 0.2

Shorten Function Names of Functions in Another Package and Create an Index to Make Them Accessible

r2social — 1.2.1

Seamless Integration of Sharing and Connect Buttons in Markdown and Apps

r2spss — 0.3.2

Format R Output to Look Like SPSS

r2stl — 1.0.3

Visualizing Data using a 3D Printer

r2sundials — 6.5.0-5

Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem

r2symbols — 1.4

Symbols for 'Markdown' and 'Shiny' Application

R2ucare — 1.0.2

Goodness-of-Fit Tests for Capture-Recapture Models

R2wd — 1.5

Write MS-Word documents from R

R2WinBUGS — 2.1-22.1

Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'

r311 — 0.3.7

Interface to the 'open311' Standard

r3dmol — 0.1.2

Create Interactive 3D Visualizations of Molecular Data

r3js — 0.0.2

'WebGL'-Based 3D Plotting using the 'three.js' Library

r3PG — 0.1.6

Simulating Forest Growth using the 3-PG Model

R3port — 0.2.5

Report Functions to Create HTML and PDF Files

R4CouchDB — 0.7.5

A R Convenience Layer for CouchDB 2.0

r4ds.tutorials — 0.3.0

Tutorials for "R for Data Science"

r4googleads — 0.1.1

'Google Ads API' Interface

R4HCR — 0.1

R for Health Care Research

r4lineups — 0.1.1

Statistical Inference on Lineup Fairness

r4ss — 1.44.0

R Code for Stock Synthesis

r5r — 2.0

Rapid Realistic Routing with 'R5'

R6 — 2.5.1

Encapsulated Classes with Reference Semantics

R62S3 — 1.4.1

Automatic Method Generation from R6

R6causal — 0.8.3

R6 Class for Structural Causal Models

R6DS — 1.2.0

R6 Reference Class Based Data Structures

r6extended — 0.1.2

Extension for 'R6' Base Class

r6methods — 0.1.0

Make Methods for R6 Classes

R6P — 0.3.0

Design Patterns in R

r6qualitytools — 1.0.1

R6-Based Statistical Methods for Quality Science

ra4bayesmeta — 1.0-8

Reference Analysis for Bayesian Meta-Analysis

rabi — 1.0.2

Generate Codes to Uniquely and Robustly Identify Individuals for Animal Behavior Studies

RABR — 0.1.1

Simulations for Response Adaptive Block Randomization Design

RAC — 1.5.5

R Package for Aqua Culture

racademyocean — 0.3.3

Client for 'AcademyOcean API'

RaceID — 0.3.8

Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data

raceland — 1.2.1

Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography

racir — 2.0.0

Rapid A/Ci Response (RACiR) Data Analysis

Racmacs — 1.2.9

Antigenic Cartography Macros

ractivecampaign — 0.2.0

Loading Data from 'ActiveCampaign API v3'

rADA — 1.1.9

Statistical Analysis and Cut-Point Determination of Immunoassays

radar — 1.0.0

Fundamental Formulas for Radar

radarBoxplot — 1.0.5

Implementation of the Radar-Boxplot

radarchart — 0.3.1

Radar Chart from 'Chart.js'

RadData — 1.0.2

Nuclear Decay Data for Dosimetric Calculations - ICRP 107

RadEro — 1.0.5

Cs-137 Conversion Model

RadialVisGadgets — 0.2.0

Interactive Gadgets for Radial Visualization Approaches

radiant — 1.6.6

Business Analytics using R and Shiny

radiant.basics — 1.6.6

Basics Menu for Radiant: Business Analytics using R and Shiny

radiant.data — 1.6.7

Data Menu for Radiant: Business Analytics using R and Shiny

radiant.design — 1.6.6

Design Menu for Radiant: Business Analytics using R and Shiny

radiant.model — 1.6.7

Model Menu for Radiant: Business Analytics using R and Shiny

radiant.multivariate — 1.6.6

Multivariate Menu for Radiant: Business Analytics using R and Shiny

RadioSonde — 4.2

Tools for Plotting Skew-T Diagrams and Wind Profiles

radir — 1.0.4

Inverse-Regression Estimation of Radioactive Doses

radlibs — 0.2.0

Build Your Own Madlibs!

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