R package random.cdisc.data version 0.3.16

A Parallel Analysis with Polychoric Correlation Matrices
R package random.polychor.pa version 1.1.4-5

Breiman and Cutlers Random Forests for Classification and
Regression

Explaining and Visualizing Random Forests in Terms of Variable
Importance
R package randomForestExplainer version 0.10.1

R package RandomForestsGLS version 0.1.5

Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)

Tune Random Forests Based on Variable Importance & Plot Results

R package randomizationInference version 1.0.4

Create a Random List for Crossover Studies

Easy-to-Use Tools for Common Forms of Random Assignment and
Sampling

An Ensemble Modeling using Random Machines

Two-Sample Test in High Dimensions using Random Projection
R package RandomProjectionTest version 0.1.4

Random Uniform Forests for Classification, Regression and
Unsupervised Learning
R package randomUniformForest version 1.1.6

Filtering and Randomly Sampling Real User-Agent Strings

Generate Random Walks Compatible with the 'tidyverse'

Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests

Reconstructing Reproducible R Computational Environments

Occurrence Filtering, Geographic Standardization and Generation
of Species Range Polygons
R package rangeBuilder version 2.2

A Platform for the Study of Macro-Ecology of Life History Traits

Provides Templates for Metadata Files Associated with Species
Range Models
R package rangeModelMetadata version 0.1.5

Mechanistic Simulation of Species Range Dynamics

Customisable Ranking of Numerical and Categorical Data

Aggregation of (Partial) Ordinal Rankings

Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic
Approach

Model-Based Clustering for Multivariate Partial Ranking Data

Total, Between-, and Within-Cluster Spearman Rank Correlations
for Clustered Data
R package rankCorr version 1.0.3

R package rankdifferencetest version 2025.12.4

Rank-Based Tests for General Factorial Designs

Rank Intraclass Correlation for Clustered Data