Optimising Random Forest Stability by Determining the Optimal
Number of Trees
R package optRF version 1.2.1

Optimal Level of Significance for Regression and Other
Statistical Tests
R package OptSig version 2.2

Optimal Plot Size Estimation for Field Experiments

OPUS Miner Algorithm for Filtered Top-k Association Discovery

Multi-Horizon Electricity Demand Forecasting in High Resolution

Predict with 'tidymodels' Workflows in Databases

Fast and Efficient Graph Data Structures

Computation of Graphlet Orbit Counts in Sparse Graphs

Download Official Data on Brazil's Federal Budget

Subspace Clustering Based on Arbitrarily Oriented Projected
Cluster Generation
R package orclus version 0.2-6

Order Restricted Clustering for Microarray Experiments

Ordered Beta Regression Models with 'brms'

Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs
R package ordcrm version 1.0.0

Separating Location and Dispersion in Ordinal Regression Models

Extracting Order Position Tables from PDF-Based Order Documents

Test, Check, Verify, Investigate the Monotonic Properties of
Vectors

Sampling from k-th Order Statistics of New Families of
Distributions

Efficiently Generates Random Order Statistic Variables

Least Squares, Logistic, and Cox-Regression with Ordered
Predictors

Additive Model for Ordinal Data using Laplace P-Splines

Bayesian Ordinal Regression for High-Dimensional Data

Ordinal Regression Analysis for Continuous Scales

Ordinal Forests: Prediction and Variable Ranking with Ordinal
Target Variables

Ordinal Regression for High-Dimensional Data

Co-Clustering of Ordinal Data via Latent Continuous Random
Variables

Analysis of Repeatability and Reproducibility Studies with
Ordinal Measurements
R package ordinalRR version 1.1

Compare Ordinal Endpoints Using Simulations

Fit Models to Two-Way Tables with Correlated Ordered Response
Categories

Compute least squares estimates of one bounded or two ordered
isotonic regression curves
R package OrdMonReg version 1.0.3

Concurrent Generation of Ordinal and Normal Data with Given
Correlation Matrix and Marginal Distributions
R package OrdNor version 2.2.3