rPackages

Generalized Linear Mixed Effects Models

Generalized Linear Mixed Model Trees

GLRT P-Values in Generalized Linear Models

Fit GLM with LEP-Based Penalized Maximum Likelihood

Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

Fit a Cosinor Model Using a Generalised Mixed Modelling Framework

Generalized Linear Mixed Model Analysis via Expectation Propagation

Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling

Generalized Linear Models Adjusting for Misrepresentation

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

Generalized Linear Models with Clustering

High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)

Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

Bayesian Model Selection for Generalized Linear Mixed Models

General Linear Mixed Models for Gene-Level Differential Expression

Generalized Linear Mixed Models using Template Model Builder

Lasso and Elastic-Net Regularized Generalized Linear Models

Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response

Add Nonparametric Bootstrap SE to 'glmnet' for Selected Coefficients (No Shrinkage)

Utilities for 'Glmnet'

Data and Code to Accompany Generalized Linear Models, 2nd Edition

L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model

Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response

Dimension Reduction of Non-Normally Distributed Data

Permutation-Based Inference for Generalized Linear Models

Generalized Linear Model Data Sets

Creates Ideal Data for Generalized Linear Models

Generalized Linear Models with Truncated Lasso Penalty

Set of Tools to Data Analysis using Generalized Linear Models

Transfer Learning under Regularized Generalized Linear Models

Logistic Regression Trees

Model Selection and Multimodel Inference Made Easy

Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linea…

Generalized Linear Models Extended

A Collection of Graphic Tools for GLM Diagnostics and some Extensions

Inhomogeneous K- And Pair Correlation Functions Using Global Estimators

Generate Functions to Get or Set Global Options

Objective functions for benchmarking the performance of global optimization algorithms

Identify Global Objects in R Expressions

Download and Measure Global Trends Through Google Search Volumes

Plot 2D and 3D Views of the Earth, Including Major Coastline

Estimating Functions with Multivariate B-Splines

Fitting and Testing Generalized Logistic Distributions

Glossaries for Markdown and Quarto Documents

Use Interlinear Glosses in R Markdown

Language Mapping and Geospatial Analysis of Linguistic and Cultural Data

Make Plots that Glow

R Interface to C API of GLPK

Genome-Wide Association and Linkage Analysis under Heterogeneity

Generalized Least Squares with Measurement Error

Interpreted String Literals

Wrap Vectors in Markdown Formatting

Glucose Variability Measures from Continuous Glucose Monitoring Data

Methods to Assess Generalized Latent Variable Model Fit

Tools for Analysing N-Glycan Data

Create Music with Ease

Granger Mediation Analysis

Genomic Mediation Analysis with Adaptive Confounding Adjustment

Access the 'Gmail' 'RESTful' API

Distance and Travel Time Between Two Points from Google Maps

Fast Estimation of Gaussian Mixture Copula Models

Graph Based Multiple Comparison Procedures

Lightweight Graph Based Multiple Comparison Procedures

Accessing a Geometallurgical Database with R

Short Term Forecasting via GMDH-Type Neural Network Algorithms

Binary Classification via GMDH-Type Neural Network Algorithms

Regression using GMDH Algorithms

Geometric Median, k-Medians Clustering and Robust Median PCA

Generalized Multivariate Functional Additive Models

Inference and Clustering of Functional Data

Geostatistics for Compositional Analysis

Gaussian Mixture Graphical Model Learning and Inference

Descriptive Statistics, Transition Plots, and More

Unsupervised Gaussian Mixture and Minkowski and Spherical K-Means with Constraints

Generalized Method of Moments and Generalized Empirical Likelihood

Generalized Linear Mixed Model Association Tests

Likelihood-Based Boosting for Generalized Mixed Models

Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism