Calculate Textures from Grey-Level Co-Occurrence Matrices
(GLCMs)

Estimation and Use of the Generalised (Tukey) Lambda
Distribution
R package gld version 2.6.8

Fitting Single and Mixture of Generalised Lambda Distributions

Fit GLD Regression/Quantile/AFT Model to Data

Learning Interactions via Hierarchical Group-Lasso
Regularization

Phylogenetic Comparative Methods with Uncertainty Estimates

R package glioblastomaEHRsData version 0.1.0

Generalized Linear Latent Variable Models

'C' and 'Java' Source Code Generator for Fitted Glm Objects

Predicted Values and Discrete Changes for Regression Models

An Adaptive Test on High Dimensional Parameters in Generalized
Linear Models
R package GLMaSPU version 1.0

All Hierarchical or Graphical Models for Generalized Linear
Model

Generalized Linear Models for Categorical Responses

Fitting GLMs with Missing Data in Both Responses and Covariates

Fit GLM with LEP-Based Penalized Maximum Likelihood

Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation
R package glmm version 1.4.5

Hierarchical Partitioning of Marginal R2 for Generalized
Mixed-Effect Models
R package glmm.hp version 1.0-0

Generalized Linear Mixed Models using Adaptive Gaussian
Quadrature

Fit a Cosinor Model Using a Generalized Mixed Modeling Framework

Generalized Linear Mixed Model Analysis via Expectation
Propagation

Generalized Linear Mixed Models via Fully Exponential Laplace in
EM

Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling
R package glmmfields version 0.1.8

Generalized Linear Models Adjusting for Misrepresentation

Variable Selection for Generalized Linear Mixed Models by
L1-Penalized Estimation
R package glmmLasso version 1.6.3

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
R package GLMMRR version 0.6.0

Generalised Linear Mixed Model Selection