rPackages

'Rcpp' Integration for the 'mlpack' Library

Maximum Likelihood Estimation of the Niche Preemption Model

Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

A Power Analysis Toolbox to Find Cost-Efficient Study Designs

Algorithms for Class Distribution Estimation

Machine Learning in R

Machine Learning in R - Next Generation

Batch Experiments for 'mlr3'

Analysis and Visualisation of Benchmark Experiments

Cluster Extension for 'mlr3'

Collection of Machine Learning Data Sets for 'mlr3'

Data Base Backend for 'mlr3'

Fairness Auditing and Debiasing for 'mlr3'

Filter Based Feature Selection for 'mlr3'

Feature Selection for 'mlr3'

Hyperband for 'mlr3'

Inference on the Generalization Error

Recommended Learners for 'mlr3'

Flexible Bayesian Optimization

Performance Measures for 'mlr3'

Helper Functions for 'mlr3'

Connector Between 'mlr3' and 'OpenML'

Preprocessing Operators and Pipelines for 'mlr3'

Resampling Algorithms for 'mlr3' Framework

Machine Learning in 'shiny' with 'mlr3'

Support for Spatial Objects Within the 'mlr3' Ecosystem

Spatiotemporal Resampling Methods for 'mlr3'

Model and Learner Summaries for 'mlr3'

Super Learner Fitting and Prediction

Deep Learning with 'mlr3'

Hyperparameter Optimization for 'mlr3'

Search Spaces for 'mlr3'

Easily Install and Load the 'mlr3' Package Family

Visualizations for 'mlr3'

Composable Preprocessing Operators and Pipelines for Machine Learning

Model-Based Optimization for 'mlr3' Through 'mlrMBO'

Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

Stepwise Regression with Assumptions Checking

Long-Run Variance Estimation in Time Series Regression

Efficient Estimation of Bayesian SBMs & MLSBMs

Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers

Machine Learning Models for Soil Properties

Machine Learning and Mapping for Spatial Epidemiology

Multilevel Supervised Topic Models with Multiple Outcomes

Support Compatibility Between 'Maelstrom' R Packages and 'Opal' Environment

R6-Based ML Survival Learners for 'mlexperiments'

Most Likely Transformations

Classification Evaluation Metrics

Machine Learning Tools

Multilevel Latent Time Series Models with 'R' and 'Stan'

Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons

Multi-Level Vector Autoregression

A Stochastic Block Model for Multilevel Networks

Machine Learning Modelling for Everyone

Simulation of Longitudinal Data

Mean Length-Based Estimators of Mortality using TMB

The Multiplicative Multinomial Distribution

Gene Expression Datasets for the 'MM2S' Package

Inference of Linear Mixed Models Through MM Algorithm

Multiple Mediation Analysis

Multiple Mediation Analysis for Big Data Sets

Data for Mathematical Modeling and Applied Calculus

An R Package of Minorization-Maximization Algorithm via the Assembly--Decomposition Technology

Mathematical Morphology in Any Number of Dimensions

Map Pages of Memory

Memory-Map Character Files

Explore Air-Quality Mobile-Monitoring Data

Arbitrary Dependency Mixed Multivariate Bayesian Models

Multistate Model Bias-Corrected Robust Variance

Multivariate Measurement Error Correction

Playing Cards Utility Functions

Mixed Multivariate Cumulative Incidence Functions

Modified Maximum Contrast Method

Multistage MCMC Method for Detecting DMRs

Mouse Map Converter

Modeling Complex Longitudinal Data in a Quick and Easy Way

Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection

Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Categorical Data

Robust Estimation of Copulas by Maximum Mean Discrepancy

Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions

Multinomial Mixed Effects Models

Estimation of Multinormal Mixture Distribution