rPackages

Finite Mixture Distribution Models

Bias Diagnostic for Linear Mixed Models

Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data

Tests of Randomness and Tests of Independence

Mixed Level Response Surface Designs

Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data

Tools for Discrete Multivariate Mixed Membership Models

Mixed Poisson Models

Statistical Tools for the Analysis of Psychophysical Data

Estimation Methods for Stochastic Differential Mixed Effects Models

Mixed Tempered Stable Distribution

Design and Analysis of Mixture Experiments

Evaluation of the FIM in NLMEMs using MCMC

Mixture fMRI Clustering Analysis

Multiple Imputation Through 'XGBoost'

Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized …

Mixture of Multiple Highly Variable Feature Selection Methods

Genetics and Independence Testing of Mixed Genetic Panels

Omics Data Integration Using Kernel Methods

Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets

Mixture of Longitudinal Factor Analysis Methods

Mixed Model ANOVA and Statistics for Education

Classification with Matrix Variate Normal and t Distributions

An Extended Mixed-Effects Framework for Meta-Analysis

Design and Analysis of Order-of-Addition Mixture Experiments

Mixed Variable Optimization

Mixture Optimization Algorithm

Mixtures of Proportional Hazard Models

Mixed Poisson Regression for Overdispersed Count Data

Finite Mixture Modeling for Raw and Binned Data

Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models

A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions

Mixture Models: Parametric, Semiparametric, and Robust

Bayesian Mixing Models in R

Simulating Data to Study Performance of Clustering Algorithms

Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions

Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clus…

Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions

Clustering Using Mixtures of Sub Gaussian Stable Distributions

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'

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

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

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