All packages

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GillespieSSA — 0.6.2

Gillespie's Stochastic Simulation Algorithm (SSA)

GillespieSSA2 — 0.3.0

Gillespie's Stochastic Simulation Algorithm for Impatient People

gim — 0.33.1

Generalized Integration Model

gimme — 0.7-18

Group Iterative Multiple Model Estimation

GIMMEgVAR — 0.1.0

Group Iterative Multiple Model Estimation with 'graphicalVAR'

GimmeMyPlot — 0.1.0

Graphical Utilities for Visualizing and Exploring Data

gimmeTools — 0.1

Supplemental Tools for the 'gimme' R Package

gimms — 1.2.2

Download and Process GIMMS NDVI3g Data

GiNA — 1.0.1

High Throughput Phenotyping

Gini — 0.1.0

Gini Coefficient

GiniDecompLY — 1.0.1

Gini Decomposition by Income Sources

GiniDistance — 0.1.1

A New Gini Correlation Between Quantitative and Qualitative Variables

giniVarCI — 0.0.1-3

Gini Indices, Variances and Confidence Intervals for Finite and Infinite Populations

ginormal — 0.0.2

Generalized Inverse Normal Distribution Density and Generation

GInSARCorW — 1.15.8

GACOS InSAR Correction Workflow

gIPFrm — 3.1

Generalized Iterative Proportional Fitting for Relational Models

GIplot — 0.1.0

Gaussian Interval Plot (GIplot)

gips — 1.2.1

Gaussian Model Invariant by Permutation Symmetry

GiRaF — 1.0.1

Gibbs Random Fields Analysis

giscoR — 0.6.0

Download Map Data from GISCO API - Eurostat

GISINTEGRATION — 1.0

GIS Integration

GISSB — 1.1

Network Analysis on the Norwegian Road Network

GISTools — 1.0-2

Further Capabilities in Geographic Information Science

gistr — 0.9.0

Work with 'GitHub' 'Gists'

git2r — 0.35.0

Provides Access to Git Repositories

git2rdata — 0.4.1

Store and Retrieve Data.frames in a Git Repository

git4r — 0.1.2

Interactive Git for R

gitcreds — 0.1.2

Query 'git' Credentials from 'R'

gitdown — 0.1.6

Turn Your Git Commit Messages into a HTML Book

gitear — 1.0.0

Client to the 'gitea' API

gitgadget — 0.8.1

'Rstudio' Addin for Version Control and Assignment Management using Git

gitGPT — 0.1.3

Automated Git Commit Messages using the 'OpenAI' 'GPT' Model

githubinstall — 0.2.2

A Helpful Way to Install R Packages Hosted on GitHub

githubr — 0.9.1

Easier to Use API Wrapper for 'GitHub'

gitignore — 0.1.8

Create Useful .gitignore Files for your Project

gitlabr — 2.1.0

Access to the 'GitLab' API

gitlink — 0.1.3

Add 'Git' Links to Your Web Based Assets

gitr — 0.0.1

A Lightweight API for 'Git'

GitStats — 2.1.2

Standardized Git Repository Data

gittargets — 0.0.7

Data Version Control for the Targets Package

givitiR — 1.3

The GiViTI Calibration Test and Belt

gjam — 2.6.2

Generalized Joint Attribute Modeling

gJLS2 — 0.2.0

A Generalized Joint Location and Scale Framework for Association Testing

GJRM — 0.2-6.7

Generalised Joint Regression Modelling

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 — 1.0.4

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

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 — 2.0

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 — 0.2-6

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 — 0.1-6

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models

GLMMadaptive — 0.9-1

Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

GLMMcosinor — 0.2.1

Fit a Cosinor Model Using a Generalized Mixed Modeling 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 — 1.1.10

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 — 0.5-4

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)

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