All packages

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g.data — 2.4

Delayed-Data Packages

G1DBN — 3.1.1

A package performing Dynamic Bayesian Network inference.

g2f — 0.2

Find and Fill Gaps in Metabolic Networks

G2Sd — 2.1.5

Grain-Size Statistics and Description of Sediment

g3viz — 1.1.4

Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram

GA — 3.2.2

Genetic Algorithms

GAabbreviate — 1.3

Abbreviating Items Measures using Genetic Algorithms

GABi — 0.1

Framework for Generalized Subspace Pattern Mining

GACFF — 1.0

Genetic Similarity in User-Based Collaborative Filtering

GAD — 1.1.1

GAD: Analysis of variance from general principles

GADAG — 0.99.0

A Genetic Algorithm for Learning Directed Acyclic Graphs

gadget2 — 2.3.7

Gadget is the Globally-Applicable Area Disaggregated General Ecosystem Toolbox

GaDiFPT — 1.0

First Passage Time Simulation for Gaussian Diffusion Processes

GADMTools — 3.9-1

Easy Use of 'GADM' Maps

gafit — 0.5.1

Genetic Algorithm for Curve Fitting

gaiah — 0.0.4

Genetic and Isotopic Assignment Accounting for Habitat Suitability

gainML — 0.1.0

Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators

gains — 1.2

Lift (Gains) Tables and Charts

GAIPE — 1.0

Graphical Extension with Accuracy in Parameter Estimation (GAIPE)

galah — 1.3.1

Atlas of Living Australia (ALA) Data and Resources in R

galigor — 0.2.5

Collection of Packages for Internet Marketing

GALLO — 1.2

Genomic Annotation in Livestock for Positional Candidate LOci

galts — 1.3.1

Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares) Estimation

galvanizer — 0.5.3

Interface to Galvanize 'Highbond' Internal Audit Software

gam — 1.20

Generalized Additive Models

gamair — 1.0-2

Data for 'GAMs: An Introduction with R'

gambin — 2.5.0

Fit the Gambin Model to Species Abundance Distributions

gamblers.ruin.gameplay — 4.0.5

One-Dimensional Random Walks Through Simulation of the Gambler's Ruin Problem

gamboostLSS — 2.0-5

Boosting Methods for 'GAMLSS'

gamboostMSM — 1.1.87

Estimating multistate models using gamboost()

gamclass — 0.62.3

Functions and Data for a Course on Modern Regression and Classification

gamCopula — 0.0-7

Generalized Additive Models for Bivariate Conditional Dependence Structures and Vine Copulas

GAMens — 1.2.1

Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification

gameofthrones — 1.0.2

Palettes Inspired in the TV Show "Game of Thrones"

games — 1.1.2

Statistical Estimation of Game-Theoretic Models

gamesGA — 1.1.3.7

Genetic Algorithm for Sequential Symmetric Games

GameTheory — 2.7

Cooperative Game Theory

GameTheoryAllocation — 1.0

Tools for Calculating Allocations in Game Theory

gamlr — 1.13-7

Gamma Lasso Regression

gamlss — 5.3-4

Generalised Additive Models for Location Scale and Shape

gamlss.add — 5.1-6

Extra Additive Terms for Generalized Additive Models for Location Scale and Shape

gamlss.cens — 5.0-1

Fitting an Interval Response Variable Using `gamlss.family' Distributions

gamlss.countKinf — 3.5.1

Generating and Fitting K-Inflated 'discrete gamlss.family' Distributions

gamlss.data — 6.0-1

Data for Generalised Additive Models for Location Scale and Shape

gamlss.demo — 4.3-3

Demos for GAMLSS

gamlss.dist — 5.3-2

Distributions for Generalized Additive Models for Location Scale and Shape

gamlss.inf — 1.0-1

Fitting Mixed (Inflated and Adjusted) Distributions

gamlss.lasso — 1.0-1

Extra Lasso-Type Additive Terms for GAMLSS

gamlss.mx — 6.0-0

Fitting Mixture Distributions with GAMLSS

gamlss.nl — 4.1-0

Fitting non linear parametric GAMLSS models

gamlss.spatial — 2.0.0

Spatial Terms in Generalized Additive Models for Location Scale and Shape Models

gamlss.tr — 5.1-7

Generating and Fitting Truncated `gamlss.family' Distributions

gamlssbssn — 0.1.0

Bimodal Skew Symmetric Normal Distribution

gamm4 — 0.2-6

Generalized Additive Mixed Models using 'mgcv' and 'lme4'

gamm4.test — 0.1.0

Comparing Nonlinear Curves and Surface Estimations by Semiparametric Methods

gamma — 1.0.1

Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements

Gammareg — 3.0

Classic Gamma Regression: Joint Modeling of Mean and Shape Parameters

gammSlice — 2.0-2

Generalized Additive Mixed Model Analysis via Slice Sampling

gamreg — 0.3

Robust and Sparse Regression via Gamma-Divergence

gamRR — 0.7.0

Calculate the RR for the GAM

gamsel — 1.8-1

Fit Regularization Path for Generalized Additive Models

ganalytics — 0.10.7

Interact with 'Google Analytics'

ganGenerativeData — 1.2.0

Generate Generative Data for a Data Source

GANPA — 1.1

Gene Association Network-Based Pathway Analysis (GANPA)

GANPAdata — 1.0

The GANPA Datasets Package

gap — 1.2.3-1

Genetic Analysis Package

gap.datasets — 0.0.4

Datasets for 'gap'

GapAnalysis — 1.0.2

Conservation Indicators using Spatial Information

GAparsimony — 0.9.4

Searching Parsimony Models with Genetic Algorithms

gapclosing — 1.0.2

Estimate Gaps Under an Intervention

gapfill — 0.9.6-1

Fill Missing Values in Satellite Data

gapmap — 0.1.0

Drawing Gapped Cluster Heatmap with 'ggplot2'

gapminder — 0.3.0

Data from Gapminder

GARCHIto — 0.1.0

Class of GARCH-Ito Models

garchmodels — 0.1.1

The 'Tidymodels' Extension for GARCH Models

GARCHSK — 0.1.0

Estimating a GARCHSK Model and GJRSK Model

garchx — 1.3

Flexible and Robust GARCH-X Modelling

GARCOM — 1.2.0

Gene and Region Counting of Mutations ("GARCOM")

gargle — 1.2.0

Utilities for Working with Google APIs

gargoyle — 0.0.1

An Event-Based Mechanism for 'Shiny'

garma — 0.9.10

Fitting and Forecasting Gegenbauer ARMA Time Series Models

garray — 1.1.2

Generalized Array Arithmetic for Ragged Arrays with Named Margins

GAS — 0.3.3

Generalized Autoregressive Score Models

gaselect — 1.0.9

Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data

gasfluxes — 0.4-4

Greenhouse Gas Flux Calculation from Chamber Measurements

GaSP — 1.0.0

Train and Apply a Gaussian Stochastic Process Model

gasper — 1.1.1

Graph Signal Processing

gastempt — 0.5.4

Analyzing Gastric Emptying from MRI or 'Scintigraphy'

gaston — 1.5.7

Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models

gatepoints — 0.1.4

Easily Gate or Select Points on a Scatter Plot

gateR — 0.1.9

Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation

GauPro — 0.2.4

Gaussian Process Fitting

gauseR — 1.0

Lotka-Volterra Models for Gause's 'Struggle for Existence'

gausscov — 0.1.1

The Gaussian Covariate Method for Variable Selection

gaussDiff — 1.1

Difference measures for multivariate Gaussian probability density functions

gaussfacts — 0.0.2

The Greatest Mathematician Since Antiquity

GaussianHMM1d — 1.0.1

Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models

gaussplotR — 0.2.5

Fit, Predict and Plot 2D Gaussians

gaussquad — 1.0-2

Collection of functions for Gaussian quadrature

GaussSuppression — 0.1.0

Tabular Data Suppression using Gaussian Elimination

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