METACRAN

MKMeans — 3.1

10 months ago by Yarong Yang

A Modern K-Means (MKMeans) Clustering Algorithm

MKmisc — 1.9

3 years ago by Matthias Kohl

Miscellaneous Functions from M. Kohl

mknapsack — 0.1.0

7 years ago by Bulat Yapparov

Multiple Knapsack Problem Solver

MKomics — 0.7

4 years ago by Matthias Kohl

Omics Data Analysis

MKpower — 1.0

10 months ago by Matthias Kohl

Power Analysis and Sample Size Calculation

mkssd — 1.2

3 years ago by B N Mandal

Efficient Multi-Level k-Circulant Supersaturated Designs

ML.MSBD — 1.2.1

4 years ago by Joelle Barido-Sottani

Maximum Likelihood Inference on Multi-State Trees

ML2Pvae — 1.0.0.1

3 years ago by Geoffrey Converse

Variational Autoencoder Models for IRT Parameter Estimation

mlapi — 0.1.1

3 years ago by Dmitriy Selivanov

Abstract Classes for Building 'scikit-learn' Like API

MLBC — 0.2.2

12 days ago by Konrad Kurczynski

Bias Correction Methods for Models Using Synthetic Data

mlbench — 2.1-6

7 months ago by Kurt Hornik

Machine Learning Benchmark Problems

mlbplotR — 1.1.0

2 years ago by Camden Kay

Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos

mlbstats — 0.1.0

7 years ago by Philip D. Waggoner

Major League Baseball Player Statistics Calculator

MLCIRTwithin — 2.1.2

a month ago by Francesco Bartolucci

Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

MLCM — 0.4.3

4 years ago by Guillermo Aguilar

Maximum Likelihood Conjoint Measurement

MLDataR — 1.0.1

3 years ago by Gary Hutson

Collection of Machine Learning Datasets for Supervised Machine Learning

mldr — 0.4.3

6 years ago by David Charte

Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

mldr.datasets — 0.4.2

7 years ago by David Charte

R Ultimate Multilabel Dataset Repository

mldr.resampling — 0.2.3

2 years ago by Miguel Ángel Dávila

Resampling Algorithms for Multi-Label Datasets

MLDS — 0.5.1

2 years ago by Kenneth Knoblauch

Maximum Likelihood Difference Scaling

MLE — 1.5

4 months ago by Michail Tsagris

Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions

mle.tools — 1.0.0

8 years ago by Josmar Mazucheli

Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)

mlearning — 1.2.1

2 years ago by Philippe Grosjean

Machine Learning Algorithms with Unified Interface and Confusion Matrices

MLEce — 2.1.0

2 years ago by Jun Zhao

Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions

MLEcens — 0.1-7.1

10 months ago by Marloes Maathuis

Computation of the MLE for Bivariate Interval Censored Data

mlegp — 3.1.9

3 years ago by Garrett M. Dancik

Maximum Likelihood Estimates of Gaussian Processes

mlelod — 1.0.0.1

a year ago by Gregor Sega

MLE for Normally Distributed Data Censored by Limit of Detection

mlergm — 0.8.1

2 months ago by Jonathan Stewart

Multilevel Exponential-Family Random Graph Models

MLeval — 0.3

5 years ago by Christopher R John

Machine Learning Model Evaluation

mlexperiments — 0.0.5

5 months ago by Lorenz A. Kapsner

Machine Learning Experiments

mlf — 1.2.1

7 years ago by Kyle Peterson

Machine Learning Foundations

mlfit — 0.5.3

4 years ago by Amarin Siripanich

Iterative Proportional Fitting Algorithms for Nested Structures

mlflow — 2.22.1

a month ago by Matei Zaharia

Interface to 'MLflow'

MLFS — 0.4.2

3 years ago by Jernej Jevsenak

Machine Learning Forest Simulator

MLGdata — 0.1.0

5 years ago by Nicola Sartori

Datasets for Use with Salvan, Sartori and Pace (2020)

MLGL — 1.0.1

6 days ago by Quentin Grimonprez

Multi-Layer Group-Lasso

MLID — 1.0.1

8 years ago by Richard Harris

Multilevel Index of Dissimilarity

mlim — 0.3.0

3 years ago by E. F. Haghish

Single and Multiple Imputation with Automated Machine Learning

mllrnrs — 0.0.5

5 months ago by Lorenz A. Kapsner

R6-Based ML Learners for 'mlexperiments'

mlma — 6.3-1

2 years ago by Qingzhao Yu

Multilevel Mediation Analysis

mlmc — 2.1.1

9 months ago by Louis Aslett

Multi-Level Monte Carlo

MLmetrics — 1.1.3

a year ago by Yachen Yan

Machine Learning Evaluation Metrics

mlmhelpr — 0.1.1

a year ago by Louis Rocconi

Multilevel/Mixed Model Helper Functions

mlmi — 1.1.2

2 years ago by Jonathan Bartlett

Maximum Likelihood Multiple Imputation

MLML2R — 0.3.3

6 years ago by Samara Kiihl

Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions

mlmm.gwas — 1.0.6

6 years ago by Clement Mabire

Pipeline for GWAS Using MLMM

MLModelSelection — 1.0

5 years ago by Kuo-Jung Lee

Model Selection in Multivariate Longitudinal Data Analysis

MLMOI — 0.1.2

2 years ago by Meraj Hashemi

Estimating Frequencies, Prevalence and Multiplicity of Infection

mlmpower — 1.0.10

3 months ago by Brian T. Keller

Power Analysis and Data Simulation for Multilevel Models

mlmRev — 1.0-8

5 years ago by Steve Walker

Examples from Multilevel Modelling Software Review

mlms — 1.0.2

8 months ago by Jason C. Fisher

Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network

mlmtools — 1.0.2

3 years ago by Laura Jamison

Multi-Level Model Assessment Kit

mlmts — 1.1.2

a year ago by Angel Lopez-Oriona

Machine Learning Algorithms for Multivariate Time Series

MLMusingR — 0.4.0

7 months ago by Francis Huang

Practical Multilevel Modeling

mlogit — 1.1-3

17 days ago by Yves Croissant

Multinomial Logit Models

mlogitBMA — 0.1-9

9 months ago by Hana Sevcikova

Bayesian Model Averaging for Multinomial Logit Models

mlpack — 4.6.2

2 months ago by Ryan Curtin

'Rcpp' Integration for the 'mlpack' Library

MLpreemption — 1.0.1

4 years ago by Jan Graffelman

Maximum Likelihood Estimation of the Niche Preemption Model

MLPUGS — 0.2.0

9 years ago by Mikhail Popov

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

mlpwr — 1.1.1

10 months ago by Felix Zimmer

A Power Analysis Toolbox to Find Cost-Efficient Study Designs

mlquantify — 0.2.0

4 years ago by Andre Maletzke

Algorithms for Class Distribution Estimation

mlr — 2.19.2

a year ago by Martin Binder

Machine Learning in R

mlr3 — 1.0.1

a month ago by Marc Becker

Machine Learning in R - Next Generation

mlr3batchmark — 0.2.1

2 months ago by Marc Becker

Batch Experiments for 'mlr3'

mlr3benchmark — 0.1.7

8 months ago by Sebastian Fischer

Analysis and Visualisation of Benchmark Experiments

mlr3cluster — 0.1.11

5 months ago by Maximilian Mücke

Cluster Extension for 'mlr3'

mlr3data — 0.9.0

9 months ago by Marc Becker

Collection of Machine Learning Data Sets for 'mlr3'

mlr3db — 0.6.0

11 days ago by Marc Becker

Data Base Backend for 'mlr3'

mlr3fairness — 0.4.0

a month ago by Florian Pfisterer

Fairness Auditing and Debiasing for 'mlr3'

mlr3fda — 0.2.0

a year ago by Sebastian Fischer

Extending 'mlr3' to Functional Data Analysis

mlr3filters — 0.8.1

9 months ago by Marc Becker

Filter Based Feature Selection for 'mlr3'

mlr3fselect — 1.3.0

6 months ago by Marc Becker

Feature Selection for 'mlr3'

mlr3hyperband — 1.0.0

19 days ago by Marc Becker

Hyperband for 'mlr3'

mlr3inferr — 0.1.0

7 months ago by Sebastian Fischer

Inference on the Generalization Error

mlr3learners — 0.12.0

2 months ago by Marc Becker

Recommended Learners for 'mlr3'

mlr3mbo — 0.3.0

2 months ago by Lennart Schneider

Flexible Bayesian Optimization

mlr3measures — 1.0.0

a year ago by Marc Becker

Performance Measures for 'mlr3'

mlr3misc — 0.18.0

2 months ago by Marc Becker

Helper Functions for 'mlr3'

mlr3oml — 0.10.1

5 days ago by Sebastian Fischer

Connector Between 'mlr3' and 'OpenML'

mlr3pipelines — 0.8.0

a month ago by Martin Binder

Preprocessing Operators and Pipelines for 'mlr3'

mlr3resampling — 2025.6.23

a month ago by Toby Hocking

Resampling Algorithms for 'mlr3' Framework

mlr3shiny — 0.5.0

7 months ago by Laurens Tetzlaff

Machine Learning in 'shiny' with 'mlr3'

mlr3spatial — 0.6.0

11 days ago by Marc Becker

Support for Spatial Objects Within the 'mlr3' Ecosystem

mlr3spatiotempcv — 2.3.3

18 days ago by Patrick Schratz

Spatiotemporal Resampling Methods for 'mlr3'

mlr3summary — 0.1.0

a year ago by Susanne Dandl

Model and Learner Summaries for 'mlr3'

mlr3superlearner — 0.1.2

10 months ago by Nicholas Williams

Super Learner Fitting and Prediction

mlr3torch — 0.3.0

22 days ago by Sebastian Fischer

Deep Learning with 'mlr3'

mlr3tuning — 1.4.0

2 months ago by Marc Becker

Hyperparameter Optimization for 'mlr3'

mlr3tuningspaces — 0.6.0

2 months ago by Marc Becker

Search Spaces for 'mlr3'

mlr3verse — 0.3.1

6 months ago by Marc Becker

Easily Install and Load the 'mlr3' Package Family

mlr3viz — 0.10.1

6 months ago by Marc Becker

Visualizations for 'mlr3'

mlrCPO — 0.3.8

a month ago by Martin Binder

Composable Preprocessing Operators and Pipelines for Machine Learning

mlrintermbo — 0.5.1-1

a year ago by Martin Binder

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

mlrMBO — 1.1.5.1

3 years ago by Jakob Richter

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

mlrpro — 0.1.2

3 years ago by Thidarat Thongsri

Stepwise Regression with Assumptions Checking

mlrv — 0.1.2

a year ago by Lujia Bai

Long-Run Variance Estimation in Time Series Regression

mlsbm — 0.99.2

4 years ago by Carter Allen

Efficient Estimation of Bayesian SBMs & MLSBMs

mlsjunkgen — 0.1.2

4 years ago by Steve Myles

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

mlstrOpalr — 1.0.3

a year ago by Guillaume Fabre

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

mlsurvlrnrs — 0.0.5

5 months ago by Lorenz A. Kapsner

R6-Based ML Survival Learners for 'mlexperiments'

All packages

MKMeans — 3.1

MKmisc — 1.9

mknapsack — 0.1.0

MKomics — 0.7

MKpower — 1.0

mkssd — 1.2

ML.MSBD — 1.2.1

ML2Pvae — 1.0.0.1

mlapi — 0.1.1

MLBC — 0.2.2

mlbench — 2.1-6

mlbplotR — 1.1.0

mlbstats — 0.1.0

MLCIRTwithin — 2.1.2

MLCM — 0.4.3

MLDataR — 1.0.1

mldr — 0.4.3

mldr.datasets — 0.4.2

mldr.resampling — 0.2.3

MLDS — 0.5.1

MLE — 1.5

mle.tools — 1.0.0

mlearning — 1.2.1

MLEce — 2.1.0

MLEcens — 0.1-7.1

mlegp — 3.1.9

mlelod — 1.0.0.1

mlergm — 0.8.1

MLeval — 0.3

mlexperiments — 0.0.5

mlf — 1.2.1

mlfit — 0.5.3

mlflow — 2.22.1

MLFS — 0.4.2

MLGdata — 0.1.0

MLGL — 1.0.1

MLID — 1.0.1

mlim — 0.3.0

mllrnrs — 0.0.5

mlma — 6.3-1

mlmc — 2.1.1

MLmetrics — 1.1.3

mlmhelpr — 0.1.1

mlmi — 1.1.2

MLML2R — 0.3.3

mlmm.gwas — 1.0.6

MLModelSelection — 1.0

MLMOI — 0.1.2

mlmpower — 1.0.10

mlmRev — 1.0-8

mlms — 1.0.2

mlmtools — 1.0.2

mlmts — 1.1.2

MLMusingR — 0.4.0

mlogit — 1.1-3

mlogitBMA — 0.1-9

mlpack — 4.6.2

MLpreemption — 1.0.1

MLPUGS — 0.2.0

mlpwr — 1.1.1

mlquantify — 0.2.0

mlr — 2.19.2

mlr3 — 1.0.1

mlr3batchmark — 0.2.1

mlr3benchmark — 0.1.7

mlr3cluster — 0.1.11

mlr3data — 0.9.0

mlr3db — 0.6.0

mlr3fairness — 0.4.0

mlr3fda — 0.2.0

mlr3filters — 0.8.1

mlr3fselect — 1.3.0

mlr3hyperband — 1.0.0

mlr3inferr — 0.1.0

mlr3learners — 0.12.0

mlr3mbo — 0.3.0

mlr3measures — 1.0.0

mlr3misc — 0.18.0

mlr3oml — 0.10.1