rPackages

Clustering Using Mixtures of Sub Gaussian Stable Distributions

Parameter Estimation for Stable Distributions and Their Mixtures

Mixed Temporal Vectors and Operations

Tools for Analyzing Finite Mixture Models

Dose Response Curve Fitting and Mixture Toxicity Assessment

A Statistical Framework for Comparing Sets of Trees

Modelling Continuous Report Visual Short-Term Memory Studies

Mixture Models for Clustering and Classification

Fitting of Univariate Mixture Distributions to Data using Various Approaches

Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random

Large-Scale Hypothesis Testing by Variance Mixing

Analysis and Exploration of Mixed Microbial Genomic Samples

Variable Length Markov Chains with Covariates

Unconstrained Numerical Optimization Algorithms

Dynamic Multi-Species Size Spectrum Modelling

Multivariate Joint Models with 'bamlss'

Multi-Group Kitagawa-Blinder-Oaxaca Decomposition

Statistical Classification

2D and 3D Movement-Based Kernel Density Estimates (MKDEs)

Descriptive Statistics

Matrix Kendall's Tau and Matrix Elliptical Factor Model

Kinetic Evaluation of Chemical Degradation Data

Inferential Statistics

Maximum Kernel Likelihood Estimation

A Modern K-Means (MKMeans) Clustering Algorithm

Miscellaneous Functions from M. Kohl

Multiple Knapsack Problem Solver

Omics Data Analysis

Power Analysis and Sample Size Calculation

Efficient Multi-Level k-Circulant Supersaturated Designs

Supervised Learning with Mandatory Splits and Seeds

Variational Autoencoder Models for IRT Parameter Estimation

Abstract Classes for Building 'scikit-learn' Like API

Bias Correction Methods for Models Using Synthetic Data

Machine Learning Benchmark Problems

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

Major League Baseball Player Statistics Calculator

Causal Inference Methods for Multilevel and Clustered Data

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

Maximum Likelihood Conjoint Measurement

Classification Models with Copula Functions

Collection of Machine Learning Datasets for Supervised Machine Learning

Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

Maximum Likelihood Difference Scaling

Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions

Machine Learning Algorithms with Unified Interface and Confusion Matrices

Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions

Computation of the MLE for Bivariate Interval Censored Data

Maximum Likelihood Estimates of Gaussian Processes

MLE for Normally Distributed Data Censored by Limit of Detection

Multilevel Exponential-Family Random Graph Models

Machine Learning Model Evaluation

Machine Learning Experiments

Machine Learning Foundations

High Dimensional Mediation Analysis using Local False Discovery Rates

Iterative Proportional Fitting Algorithms for Nested Structures

Interface to 'MLflow'

Machine Learning Forest Simulator

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

Multi-Layer Group-Lasso

Multilevel Index of Dissimilarity

Single and Multiple Imputation with Automated Machine Learning

Cell Type Annotation Using Large Language Models

R6-Based ML Learners for 'mlexperiments'

Multilevel Mediation Analysis

Multi-Level Monte Carlo

Machine Learning Evaluation Metrics

Multilevel/Mixed Model Helper Functions

Maximum Likelihood Multiple Imputation

Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions

Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing

Model Selection in Multivariate Longitudinal Data Analysis

Probing, Plotting, and Interpreting Multilevel Interaction Effects

Estimating Frequencies, Prevalence and Multiplicity of Infection

Integrating Morphological Modeling and Machine Learning for Decision Support

Power Analysis and Data Simulation for Multilevel Models

Examples from Multilevel Modelling Software Review

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

Multi-Level Model Assessment Kit

Machine Learning Algorithms for Multivariate Time Series

Practical Multilevel Modeling

Multinomial Logit Models

Bayesian Model Averaging for Multinomial Logit Models