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Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
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Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)
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Machine Learning Algorithms with Unified Interface and Confusion Matrices
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Computation of the MLE for Bivariate Interval Censored Data
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MLE for Normally Distributed Data Censored by Limit of Detection
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Iterative Proportional Fitting Algorithms for Nested Structures
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Single and Multiple Imputation with Automated Machine Learning
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Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions
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Model Selection in Multivariate Longitudinal Data Analysis
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Integrating Morphological Modeling and Machine Learning for Decision Support
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Power Analysis and Data Simulation for Multilevel Models
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Bayesian Model Averaging for Multinomial Logit Models
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Maximum Likelihood Estimation of the Niche Preemption Model
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Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
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Analysis and Visualisation of Benchmark Experiments
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Preprocessing Operators and Pipelines for 'mlr3'
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Support for Spatial Objects Within the 'mlr3' Ecosystem
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Spatiotemporal Resampling Methods for 'mlr3'
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Composable Preprocessing Operators and Pipelines for Machine Learning
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Model-Based Optimization for 'mlr3' Through 'mlrMBO'
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Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
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Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
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Support Compatibility Between 'Maelstrom' R Packages and 'Opal' Environment
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Most Likely Transformations: Documentation and Regression Tests
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Multilevel Latent Time Series Models with 'R' and 'Stan'
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Gene Expression Datasets for the 'MM2S' Package