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Showing entries 29301-29400 out of 52586.
r-mlmiNix package
Maximum Likelihood Multiple Imputation
Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions
r-mlmmmNix package
Model Selection in Multivariate Longitudinal Data Analysis
r-MLMOINix package
Estimating Frequencies, Prevalence and Multiplicity of Infection
Power Analysis and Data Simulation for Multilevel Models
Examples from Multilevel Modelling Software Review
Multi-Level Model Assessment Kit
r-mlmtsNix package
Machine Learning Algorithms for Multivariate Time Series
Practical Multilevel Modeling
Multinomial Logit Models
Bayesian Model Averaging for Multinomial Logit Models
r-MLPNix package
r-MLPANix package
'Rcpp' Integration for the 'mlpack' Library
Maximum Likelihood Estimation of the Niche Preemption Model
Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
r-mlpwrNix package
A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Algorithms for Class Distribution Estimation
r-mlrNix package
Machine Learning in R
r-mlr3Nix package
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'
Extending 'mlr3' to Functional Data Analysis
Filter Based Feature Selection for 'mlr3'
Hyperband for 'mlr3'
Recommended Learners for 'mlr3'
Helper Functions for 'mlr3'
Connector Between 'mlr3' and 'OpenML'
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'
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
r-mlrvNix package
Long-Run Variance Estimation in Time Series Regression
r-mlsbmNix package
Efficient Estimation of Bayesian SBMs & MLSBMs
r-MLSeqNix package
Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
Support Compatibility Between 'Maelstrom' R Packages and 'Opal' Environment
R6-Based ML Survival Learners for 'mlexperiments'
r-mltNix package
Most Likely Transformations
Classification Evaluation Metrics
Machine Learning Tools
r-mltsNix package
Multilevel Latent Time Series Models with 'R' and 'Stan'
r-mlVARNix package
Multi-Level Vector Autoregression
A Stochastic Block Model for Multilevel Networks
r-mlxRNix package
Simulation of Longitudinal Data
r-MLZNix package
Mean Length-Based Estimators of Mortality using TMB
r-MMNix package
The Multiplicative Multinomial Distribution
r-MM2SNix package
Gene Expression Datasets for the 'MM2S' Package
Inference of Linear Mixed Models Through MM Algorithm
r-mmaNix package
Multiple Mediation Analysis
Multiple Mediation Analysis for Big Data Sets
r-MMACNix package
Data for Mathematical Modeling and Applied Calculus
r-MMADNix package
MM Algorithm Based on the Assembly-Decomposition Technology
r-mmandNix package
Mathematical Morphology in Any Number of Dimensions
r-mmapNix package
Map Pages of Memory
Memory-Map Character Files
Explore Air-Quality Mobile-Monitoring Data
r-mmbNix package
Arbitrary Dependency Mixed Multivariate Bayesian Models
r-mmcNix package
Multivariate Measurement Error Correction
Playing Cards Utility Functions
r-mmcifNix package
Mixed Multivariate Cumulative Incidence Functions
r-mmcmNix package
Modified Maximum Contrast Method
Mouse Map Converter
r-MmcsdNix package
Modeling Complex Longitudinal Data in a Quick and Easy Way
r-MMDNix package
Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection
r-MMDaiNix package
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