All packages

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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

gMCPLite — 0.1.5

Lightweight Graph Based Multiple Comparison Procedures

gmDatabase — 0.5.0

Accessing a Geometallurgical Database with R

GMDH — 1.6

Short Term Forecasting via GMDH-Type Neural Network Algorithms

GMDH2 — 1.8

Binary Classification via GMDH-Type Neural Network Algorithms

GMDHreg — 0.2.3

Regression using GMDH Algorithms

Gmedian — 1.2.7

Geometric Median, k-Medians Clustering and Robust Median PCA

gmfamm — 0.1.0

Generalized Multivariate Functional Additive Models

gmfd — 1.0.1

Inference and Clustering of Functional Data

gmGeostats — 0.11.3

Geostatistics for Compositional Analysis

gmgm — 1.1.2

Gaussian Mixture Graphical Model Learning and Inference

Gmisc — 3.0.3

Descriptive Statistics, Transition Plots, and More

GMKMcharlie — 1.1.5

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

gmm — 1.8

Generalized Method of Moments and Generalized Empirical Likelihood

GMMAT — 1.4.2

Generalized Linear Mixed Model Association Tests

GMMBoost — 1.1.5

Likelihood-Based Boosting for Generalized Mixed Models

gmmsslm — 1.1.5

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

gmnl — 1.1-3.2

Multinomial Logit Models with Random Parameters

gmodels — 2.19.1

Various R Programming Tools for Model Fitting

gMOIP — 1.5.2

Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models

GmooG — 0.7

Datasets for the Book 'Getting (more out of) Graphics'

gmoTree — 1.1.0

Get and Modify 'oTree' Data

gmp — 0.7-5

Multiple Precision Arithmetic

gmpoly — 1.1.0

Multivariate Polynomials with Rational Coefficients

GMPro — 0.1.0

Graph Matching with Degree Profiles

GmptzCurve — 0.1.0

Gompertz Curve Fitting

gms — 0.31.2

'GAMS' Modularization Support Package

GMSE — 1.0.0.2

Generalised Management Strategy Evaluation Simulator

GMSimpute — 0.0.1.0

Generalized Mass Spectrum Missing Peaks Abundance Imputation

gmt — 2.0.3

Interface Between GMT Map-Making Software and R

gmtFD — 0.1.0

General Multiple Tests for Univariate and Multivariate Functional Data

gmvarkit — 2.1.2

Estimate Gaussian and Student's t Mixture Vector Autoregressive Models

gmvjoint — 0.4.0

Joint Models of Survival and Multivariate Longitudinal Data

gmwmx — 1.0.3

Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals

gMWT — 1.4

Generalized Mann-Whitney Type Tests

GNAR — 1.1.3

Methods for Fitting Network Time Series Models

GNE — 0.99-5

Computation of Generalized Nash Equilibria

gnFit — 0.2.0

Goodness of Fit Test for Continuous Distribution Functions

gnlm — 1.1.1

Generalized Nonlinear Regression Models

gnm — 1.1-5

Generalized Nonlinear Models

gnn — 0.0-4

Generative Neural Networks

gnomonicM — 1.0.1

Estimate Natural Mortality for Different Life Stages

gnonadd — 1.0.2

Various Non-Additive Models for Genetic Associations

gnorm — 1.0.0

Generalized Normal/Exponential Power Distribution

gnrprod — 1.1.2

Estimates Gross Output Functions

GNRS — 0.3.4

Access the 'Geographic Name Resolution Service'

GNSSseg — 6.0

Homogenization of GNSS Series

gnumeric — 0.7-10

Read Data from Files Readable by 'gnumeric'

go2bigq — 2.0.1

Convert Large Numbers to Bigq Format

goalp — 0.3.1

Weighted and Lexicographic Goal Programming Interface

goat — 1.0

Gene Set Analysis Using the Gene Set Ordinal Association Test

GOCompare — 1.0.2.1

Comprehensive GO Terms Comparison Between Species

goeveg — 0.7.5

Functions for Community Data and Ordinations

gofar — 0.1

Generalized Co-Sparse Factor Regression

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