All packages

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gk — 0.6.0

g-and-k and g-and-h Distribution Functions

GK2011 — 0.1.3

Gaines and Kuklinski (2011) Estimators for Hybrid Experiments

gkgraphR — 1.0.2

Accessing the Official 'Google Knowledge Graph' API

gkmSVM — 0.83.0

Gapped-Kmer Support Vector Machine

gKRLS — 1.0.3

Generalized Kernel Regularized Least Squares

glam — 1.0.2

Generalized Additive and Linear Models (GLAM)

glamlasso — 3.0.1

Penalization in Large Scale Generalized Linear Array Models

glarma — 1.6-0

Generalized Linear Autoregressive Moving Average Models

Glarmadillo — 1.1.1

Solve the Graphical Lasso Problem with 'Armadillo'

GlarmaVarSel — 1.0

Variable Selection in Sparse GLARMA Models

glassdoor — 0.8.1

Interface to 'Glassdoor' API

glasso — 1.11

Graphical Lasso: Estimation of Gaussian Graphical Models

glassoFast — 1.0.1

Fast Graphical LASSO

glba — 0.2.1

General Linear Ballistic Accumulator Models

glca — 1.4.2

An R Package for Multiple-Group Latent Class Analysis

glcm — 1.6.5

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

GLCMTextures — 0.4.2

GLCM Textures of Raster Layers

gld — 2.6.6

Estimation and Use of the Generalised (Tukey) Lambda Distribution

GLDEX — 2.0.0.9.3

Fitting Single and Mixture of Generalised Lambda Distributions

GLDreg — 1.1.1

Fit GLD Regression/Quantile/AFT Model to Data

gldrm — 1.6

Generalized Linear Density Ratio Models

GLIDE — 1.0.5

Global and Individual Tests for Direct Effects

glinternet — 1.0.12

Learning Interactions via Hierarchical Group-Lasso Regularization

glinvci — 1.2.4

Phylogenetic Comparative Methods with Uncertainty Estimates

gllm — 0.38

Generalised log-Linear Model

gllvm — 1.4.3

Generalized Linear Latent Variable Models

glm.deploy — 1.0.4

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

glm.predict — 4.3-0

Predicted Values and Discrete Changes for Regression Models

glm2 — 1.2.1

Fitting Generalized Linear Models

GLMaSPU — 1.0

An Adaptive Test on High Dimensional Parameters in Generalized Linear Models

glmbb — 0.5-1

All Hierarchical or Graphical Models for Generalized Linear Model

glmc — 0.3-1

Fitting Generalized Linear Models Subject to Constraints

GLMcat — 0.2.7

Generalized Linear Models for Categorical Responses

glme — 0.1.0

Generalized Linear Mixed Effects Models

glmertree — 0.2-5

Generalized Linear Mixed Model Trees

glmglrt — 0.2.2

GLRT P-Values in Generalized Linear Models

glmlep — 0.2

Fit GLM with LEP-Based Penalized Maximum Likelihood

glmm — 1.4.5

Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

glmm.hp — 0.1-5

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models

GLMMadaptive — 0.9-1

Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

GLMMcosinor — 0.2.0

Fit a Cosinor Model Using a Generalised Mixed Modelling Framework

glmmEP — 1.0-3.1

Generalized Linear Mixed Model Analysis via Expectation Propagation

glmmfields — 0.1.8

Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling

glmMisrep — 0.1.1

Generalized Linear Models Adjusting for Misrepresentation

glmmLasso — 1.6.3

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

glmmML — 1.1.7

Generalized Linear Models with Clustering

glmmPen — 1.5.4.8

High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)

glmmrBase — 0.10.5

Generalised Linear Mixed Models in R

glmmrOptim — 0.3.5

Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models

GLMMRR — 0.5.0

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

GLMMselect — 1.2.0

Bayesian Model Selection for Generalized Linear Mixed Models

glmmSeq — 0.5.5

General Linear Mixed Models for Gene-Level Differential Expression

glmmTMB — 1.1.9

Generalized Linear Mixed Models using Template Model Builder

glmnet — 4.1-8

Lasso and Elastic-Net Regularized Generalized Linear Models

glmnetcr — 1.0.6

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

glmnetr — 0.5-3

Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models

glmnetSE — 0.0.1

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

glmnetUtils — 1.1.9

Utilities for 'Glmnet'

GLMpack — 0.1.0

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

glmpath — 0.98

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

glmpathcr — 1.0.10

Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response

glmpca — 0.2.0

Dimension Reduction of Non-Normally Distributed Data

glmpermu — 0.0.1

Permutation-Based Inference for Generalized Linear Models

GLMsData — 1.4

Generalized Linear Model Data Sets

GlmSimulatoR — 1.0.0

Creates Ideal Data for Generalized Linear Models

glmtlp — 2.0.1

Generalized Linear Models with Truncated Lasso Penalty

glmtoolbox — 0.1.12

Set of Tools to Data Analysis using Generalized Linear Models

glmtrans — 2.0.0

Transfer Learning under Regularized Generalized Linear Models

glmtree — 0.3.1

Logistic Regression Trees

glmulti — 1.0.8

Model Selection and Multimodel Inference Made Easy

glmvsd — 1.5

Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models

glmx — 0.2-1

Generalized Linear Models Extended

glmxdiag — 1.0.0

A Collection of Graphic Tools for GLM Diagnostics and some Extensions

globalKinhom — 0.1.8

Inhomogeneous K- And Pair Correlation Functions Using Global Estimators

GlobalOptions — 0.1.2

Generate Functions to Get or Set Global Options

globalOptTests — 1.1

Objective functions for benchmarking the performance of global optimization algorithms

globals — 0.16.3

Identify Global Objects in R Expressions

globaltrends — 0.0.14

Download and Measure Global Trends Through Google Search Volumes

globe — 1.2-0

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

glober — 1.0

Estimating Functions with Multivariate B-Splines

glogis — 1.0-2

Fitting and Testing Generalized Logistic Distributions

glossary — 1.0.0

Glossaries for Markdown and Quarto Documents

glossr — 0.8.0

Use Interlinear Glosses in R Markdown

glottospace — 0.0.112

Language Mapping and Geospatial Analysis of Linguistic and Cultural Data

glow — 0.11.0

Make Plots that Glow

glpkAPI — 1.3.4

R Interface to C API of GLPK

gLRTH — 0.2.0

Genome-Wide Association and Linkage Analysis under Heterogeneity

GLSME — 1.0.5

Generalized Least Squares with Measurement Error

glue — 1.7.0

Interpreted String Literals

gluedown — 1.0.9

Wrap Vectors in Markdown Formatting

gluvarpro — 7.0

Glucose Variability Measures from Continuous Glucose Monitoring Data

glvmfit — 0.1.0

Methods to Assess Generalized Latent Variable Model Fit

glycanr — 0.4.0

Tools for Analysing N-Glycan Data

gm — 2.0.0

Create Music with Ease

gma — 1.0

Granger Mediation Analysis

GMAC — 3.1

Genomic Mediation Analysis with Adaptive Confounding Adjustment

gmailr — 2.0.0

Access the 'Gmail' 'RESTful' API

gmapsdistance — 4.0.4

Distance and Travel Time Between Two Points from Google Maps

GMCM — 1.4

Fast Estimation of Gaussian Mixture Copula Models

gMCP — 0.8-17

Graph Based Multiple Comparison Procedures

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