All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

RLT — 3.2.6

Reinforcement Learning Trees

rLTP — 0.1.4

R Interface to the 'LTP'-Cloud Service

RLumCarlo — 0.1.9

Monte-Carlo Methods for Simulating Luminescence Phenomena

RLumModel — 0.2.10

Solving Ordinary Differential Equations to Understand Luminescence

RLumShiny — 0.2.3

'Shiny' Applications for the R Package 'Luminescence'

rly — 1.7.4

Tools to Create Formal Language Parser

RM.weights — 2.0

Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

RM2006 — 0.1.1

RiskMetrics 2006 Methodology

rma.exact — 0.1.0

Exact Confidence Intervals for Random Effects Meta-Analyses

rmacrostrat — 0.0.2

Fetch Geologic Data from the 'Macrostrat' Platform

RMaCzek — 1.6.0

Czekanowski's Diagrams

rmake — 1.1.0

Makefile Generator for R Analytical Projects

RMallow — 1.1

Fit Multi-Modal Mallows' Models to Ranking Data

Rmalschains — 0.2-10

Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains)

rmapshaper — 0.5.0

Client for 'mapshaper' for 'Geospatial' Operations

rmapzen — 0.5.1

Client for 'Mapzen' and Related Map APIs

rmarchingcubes — 0.1.3

Calculate 3D Contour Meshes Using the Marching Cubes Algorithm

rmargint — 2.0.3

Robust Marginal Integration Procedures

RMariaDB — 1.3.2

Database Interface and MariaDB Driver

RmarineHeatWaves — 0.17.0

Detect Marine Heat Waves and Marine Cold Spells

RMark — 3.0.0

R Code for Mark Analysis

rmarkdown — 2.28

Dynamic Documents for R

rmass2 — 0.0.0.2

Repeated Measures with Attrition: Sample Sizes and Power Levels for 2 Groups

RMAT — 0.2.0

Random Matrix Analysis Toolkit

rmatio — 0.19.0

Read and Write 'Matlab' Files

RMAWGEN — 1.3.7

Multi-Site Auto-Regressive Weather GENerator

rmBayes — 0.1.16

Performing Bayesian Inference for Repeated-Measures Designs

RMBC — 0.1.0

Robust Model Based Clustering

RMCC — 0.1.1

Airborne LiDAR Filtering Method Based on Multiscale Curvature

rmcfs — 1.3.6

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

rmcorr — 0.7.0

Repeated Measures Correlation

rmda — 1.6

Risk Model Decision Analysis

RmdConcord — 0.3

Concordances for 'R Markdown'

rmdfiltr — 0.1.3

'Lua'-Filters for R Markdown

rmdformats — 1.0.4

HTML Output Formats and Templates for 'rmarkdown' Documents

rmdHelpers — 1.3.1

Helper Functions for Rmd Documents

rmdl — 0.1.0

Language to Manage Many Models

rmdpartials — 0.5.8

Partial 'rmarkdown' Documents to Prettify your Reports

rmdplugr — 0.4.1

Plugins for R Markdown Formats

rmdwc — 0.3.0

Count Words, Chars and Non-Whitespace Chars in R Markdown Docs

rMEA — 1.2.2

Synchrony in Motion Energy Analysis (MEA) Time-Series

RmecabKo — 0.1.6.2

An 'Rcpp' Interface for Eunjeon Project

RMediation — 1.2.2

Mediation Analysis Confidence Intervals

rmerec — 0.1.1

MEREC - Method Based on the Removal Effects of Criteria

rmeta — 3.0

Meta-Analysis

rmetalog — 1.0.3

The Metalog Distribution

rmfanova — 0.1.0

Repeated Measures Functional Analysis of Variance

rmgarch — 1.3-9

Multivariate GARCH Models

rmi — 0.1.1

Mutual Information Estimators

rMIDAS — 1.0.0

Multiple Imputation with Denoising Autoencoders

rminer — 1.4.6

Data Mining Classification and Regression Methods

rminizinc — 0.0.8

R Interface to 'MiniZinc'

rminqa — 0.2.2

Derivative-Free Optimization in R using C++

rmio — 0.4.0

Provides 'mio' C++11 Header Files

Rmisc — 1.5.1

Ryan Miscellaneous

Rmixmod — 2.1.10

Classification with Mixture Modelling

RMixpanel — 0.7-1

API for Mixpanel

RMixtComp — 4.1.4

Mixture Models with Heterogeneous and (Partially) Missing Data

RMixtCompIO — 4.0.11

Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data

RMixtCompUtilities — 4.1.6

Utility Functions for 'MixtComp' Outputs

RMKdiscrete — 0.2

Sundry Discrete Probability Distributions

RMLPCA — 0.0.1

Maximum Likelihood Principal Component Analysis

RMM — 0.1.0

Revenue Management Modeling

RMOA — 1.1.0

Connect R with MOA for Massive Online Analysis

RMOAjars — 1.2.0

External jars Required for Package RMOA

Rmodule — 1.0

Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation Matrices

Rmolt — 1.0.0

Graphic Visualization of the Birds' Molt

Rmonize — 1.1.0

Support Retrospective Harmonization of Data

rmoo — 0.2.0

Multi-Objective Optimization in R

RMOPI — 1.1

Risk Management and Optimization for Portfolio Investment

Rmosek — 1.3.5

The R to MOSEK Optimization Interface

rMOST — 1.0.1

Estimates Pareto-Optimal Solution for Hiring with 3 Objectives

rmp — 2.2

Rounded Mixture Package

Rmpfr — 0.9-5

R MPFR - Multiple Precision Floating-Point Reliable

Rmpi — 0.7-2

Interface (Wrapper) to MPI (Message-Passing Interface)

RMPSH — 1.1.1

Recursive Modified Pattern Search on Hyper-Rectangle

rmpw — 0.0.5

Causal Mediation Analysis Using Weighting Approach

rMR — 1.1.0

Importing Data from Loligo Systems Software, Calculating Metabolic Rates and Critical Tensions

rms — 6.8-2

Regression Modeling Strategies

rmsb — 1.1-1

Bayesian Regression Modeling Strategies

RMSD — 0.1.0

Refined Modified Stahel-Donoho Estimators for Outlier Detection

RMSDp — 0.1.1

Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)

rmsfact — 0.0.3

Amazing Random Facts About the World's Greatest Hacker

rmsfuns — 1.0.0.1

Quickly View Data Frames in 'Excel', Build Folder Paths and Create Date Vectors

RMSNumpress — 1.0.1

'Rcpp' Bindings to Native C++ Implementation of MS Numpress

RMSS — 1.1.1

Robust Multi-Model Subset Selection

Rmst — 0.0.3

Computerized Adaptive Multistage Testing

rmstBayespara — 0.1.0

Bayesian Restricted Mean Survival Time for Cluster Effect

rmstcompsens — 0.1.5

Comparing Restricted Mean Survival Time as Sensitivity Analysis

rmt — 1.0

Restricted Mean Time in Favor of Treatment

RMT4DS — 0.0.1

Computation of Random Matrix Models

RMThreshold — 1.1

Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis

RMTL — 0.9.9

Regularized Multi-Task Learning

RMTstat — 0.3.1

Distributions, Statistics and Tests Derived from Random Matrix Theory

rMultiNet — 0.1

Multi-Layer Networks Analysis

rmumps — 5.2.1-30

Wrapper for MUMPS Library

rmutil — 1.1.10

Utilities for Nonlinear Regression and Repeated Measurements Models

RMVL — 1.1.0.1

Mappable Vector Library for Handling Large Datasets

rMVP — 1.1.1

Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool

rmweather — 0.2.6

Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

Next page