All packages

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rtape — 2.2

Manage and manipulate large collections of R objects stored as tape-like files

Rtauchen — 1.0

Discretization of AR(1) Processes

RTaxometrics — 3.2.1

Taxometric Analysis

RTCC — 0.1.1

Detecting Trait Clustering in Environmental Gradients

rTCRBCRr — 0.1.1

Repertoire Analysis of the Detected Clonotype

RTD — 0.4.1

Simple TD API Client

RTDE — 0.2-2

Robust Tail Dependence Estimation

rtdists — 0.11-5

Response Time Distributions

rtematres — 0.2

The rtematres API package

rtemps — 0.8.0

R Templates for Reproducible Data Analyses

rTensor — 1.4.8

Tools for Tensor Analysis and Decomposition

rTensor2 — 2.0.0

MultiLinear Algebra

rTephra — 0.1

Tephra Transport Modeling

rtern — 0.1.2

A Ternary Conditional Operator for R

RTextTools — 1.4.3

Automatic Text Classification via Supervised Learning

rtf — 0.4-14.1

Rich Text Format (RTF) Output

RTFA — 0.1.0

Robust Factor Analysis for Tensor Time Series

rTG — 1.0.4

Methods to Analyse Seasonal Radial Tree Growth Data

rtgstat — 0.3.4

Client for 'TGStat API'

Rthingsboard — 0.2.7

'ThingsBoard' API

rticles — 0.27

Article Formats for R Markdown

rticulate — 2.0.1

Articulatory Data Processing in R

rtiddlywiki — 0.1.0

R Interface for 'TiddlyWiki'

rtide — 0.0.11

Tide Heights

RTIGER — 2.1.0

HMM-Based Model for Genotyping and Cross-Over Identification

rtika — 2.7.0

R Interface to 'Apache Tika'

rtiktoken — 0.0.7

A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models

rtip — 1.1.1

Inequality, Welfare and Poverty Indices and Curves using the EU-SILC Data

rtist — 1.0.0

A Color Palette Generator

rtk — 0.2.6.1

Rarefaction Tool Kit

rtkore — 1.6.12

'STK++' Core Library Integration to 'R' using 'Rcpp'

RTL — 1.3.7

Risk Tool Library - Trading, Risk, Analytics for Commodities

RTLknitr — 1.0.0

Right to Left Dynamic Documents Using 'knitr'

rtlr — 0.1.0

Print Right-to-Left Languages Correctly

rTLsDeep — 0.0.5

Post-Hurricane Damage Severity Classification from TLS and AI

RTMB — 1.7

'R' Bindings for 'TMB'

rtmpt — 2.0-3

Fitting (Exponential/Diffusion) RT-MPT Models

rtms — 0.2.0

R Toolkit for Mass Spectrometry

Rtnmin — 2016-7.7

Truncated Newton Function Minimization with Bounds Constraints

rtodoist — 0.1.0

Create and Manage Todolist using 'Todoist.com' API

rtoot — 0.3.5

Collecting and Analyzing Mastodon Data

rtop — 0.6-9

Interpolation of Data with Variable Spatial Support

rTPC — 1.0.4

Fitting and Analysing Thermal Performance Curves

rtpcr — 2.0.2

qPCR Data Analysis

Rtrack — 2.0.3

Spatial Navigation Strategy Analysis

RTransferEntropy — 0.2.21

Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy

rtrek — 0.5.1

Data Analysis Relating to Star Trek

rtrend — 0.1.5

Trend Estimating Tools

rtrends — 0.1.0

Analyze Download Logs from the CRAN RStudio Mirror

RTriangle — 1.6-0.15

Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator

rtrim — 2.3.0

Trends and Indices for Monitoring Data

rTRIPLEXCWFlux — 0.2.0

Carbon-Water Coupled Model

rTRNG — 4.23.1-2

Advanced and Parallel Random Number Generation via 'TRNG'

Rtropical — 1.2.1

Data Analysis Tools over Space of Phylogenetic Trees Using Tropical Geometry

rtry — 1.1.0

Preprocessing Plant Trait Data

rts — 1.1-14

Raster Time Series Analysis

rts2 — 0.7.7

Real-Time Disease Surveillance

RTSA — 0.2.2

'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses

rtsdata — 0.1.4

R Time Series Intelligent Data Storage

RtsEva — 1.0.0

Performs the Transformed-Stationary Extreme Values Analysis

Rtsne — 0.17

T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation

rtson — 1.3

Typed JSON

rtsplot — 0.1.5

Time Series Plot

Rttf2pt1 — 1.3.12

'ttf2pt1' Program

RTTWebClient — 0.1.3

Web Client to 'TickTrader'

Rtumblr — 0.1.0

Collecting and Analyzing 'Tumblr' Data

Rtwalk — 1.8.0

The R Implementation of the 't-walk' MCMC Algorithm

rTwig — 1.4.0

Realistic Quantitative Structure Models

rtype — 0.1-1

A strong type system for R

rtypeform — 2.1.1

Interface to 'typeform' Results

rubias — 0.3.4

Bayesian Inference from the Conditional Genetic Stock Identification Model

rucm — 0.6

Implementation of Unobserved Components Model (UCM)

rucrdtw — 0.1.6

R Bindings for the UCR Suite

rugarch — 1.5-3

Univariate GARCH Models

ruijter — 0.1.3

Technical Data Sets by Ruijter et al. (2013)

ruimtehol — 0.3.2

Learn Text 'Embeddings' with 'Starspace'

ruin — 0.1.1

Simulation of Various Risk Processes

ruler — 0.3.0

Tidy Data Validation Reports

rules — 1.0.2

Model Wrappers for Rule-Based Models

RulesTools — 0.1.1

Preparing, Analyzing, and Visualizing Association Rules

rUM — 2.1.0

R Templates from the University of Miami

rumidas — 0.1.3

Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS

ruminate — 0.3.1

A Pharmacometrics Data Transformation and Analysis Tool

runcharter — 0.2.0

Automatically Plot, Analyse and Revises Limits of Multiple Run Charts

runDRT — 0.1.0

Run Doubly Ranked Tests

runes — 0.1.0

Convert Strings to Elder Futhark Runes

runExamplesWrapper — 1.0

Wrapper for 'run_examples()'

runexp — 0.2.1

Softball Run Expectancy using Markov Chains and Simulation

RUnit — 0.4.33

R Unit Test Framework

runjags — 2.2.2-5

Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS

runMCMCbtadjust — 1.1.2

Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters

runner — 0.4.4

Running Operations for Vectors

runonce — 0.2.3

Run Once and Save Result

runstats — 1.1.0

Fast Computation of Running Statistics for Time Series

Runuran — 0.41

R Interface to the 'UNU.RAN' Random Variate Generators

rush — 0.1.2

Rapid Parallel and Distributed Computing

rusk — 0.1.1

Beautiful Graphical Representation of Multiplication Tables on a Modular Circle

rust — 1.4.3

Ratio-of-Uniforms Simulation with Transformation

rutifier — 1.0.4

Chilean Rol Unico Tributario

rutledge — 0.1.1

Real-Time PCR Data Sets by Rutledge et al. (2004)

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