All packages

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g.data — 2.4.1

Delayed-Data Packages

g.ridge — 1.0

Generalized Ridge Regression for Linear Models

G2Sd — 2.1.5

Grain-Size Statistics and Description of Sediment

GA — 3.2.4

Genetic Algorithms

GAabbreviate — 1.3

Abbreviating Items Measures using Genetic Algorithms

GABB — 0.3.8

Facilitation of Data Preparation and Plotting Procedures for RDA and PCA Analyses

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 — 2.3.11

Gadget is the Globally-Applicable Area Disaggregated General Ecosystem Toolbox

gadget3 — 0.11-1

Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3

gafit — 0.5.1

Genetic Algorithm for Curve Fitting

GAGAs — 0.6.2

Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models

GAGBLUP — 1.0

Genetic Algorithm Assisted Genomic Best Liner Unbiased Prediction

gaiah — 0.0.5

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 — 1.1

Graphical Extension with Accuracy in Parameter Estimation (GAIPE)

galah — 2.0.2

Biodiversity Data from the GBIF Node Network

galamm — 0.2.0

Generalized Additive Latent and Mixed Models

galigor — 0.2.5

Collection of Packages for Internet Marketing

GALLO — 1.4

Genomic Annotation in Livestock for Positional Candidate LOci

galts — 1.3.2

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

galvanizer — 0.5.3

Interface to Galvanize 'Highbond' Internal Audit Software

gam — 1.22-3

Generalized Additive Models

gam.hp — 0.0-1

Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models

GaMaBioMD — 0.2.0

Diversity Analysis for Sequence Data

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 — 2.0-7

Boosting Methods for 'GAMLSS'

gamboostMSM — 1.1.88

Boosting Multistate Models

gamclass — 0.62.5

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

gameR — 0.0.5

Color Palettes Inspired by Video Games

gamesGA — 1.1.3.7

Genetic Algorithm for Sequential Symmetric Games

GameTheory — 2.7.1

Cooperative Game Theory

GameTheoryAllocation — 1.0

Tools for Calculating Allocations in Game Theory

gamlr — 1.13-8

Gamma Lasso Regression

gamlss — 5.4-22

Generalized Additive Models for Location Scale and Shape

gamlss.add — 5.1-13

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

gamlss.cens — 5.0-7

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 — 6.0-6

Data for Generalised Additive Models for Location Scale and Shape

gamlss.demo — 4.3-3

Demos for GAMLSS

gamlss.dist — 6.1-1

Distributions for Generalized Additive Models for Location Scale and Shape

gamlss.foreach — 1.1-6

Parallel Computations for Distributional Regression

gamlss.ggplots — 2.1-12

Plotting Functions for Generalized Additive Model 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 — 6.0-1

Fitting Mixture Distributions with GAMLSS

gamlss.spatial — 3.0-2

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

gamlss.tr — 5.1-9

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'

gamma — 1.0.5

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

Gammareg — 3.0.1

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 — 1.8-2

Fit Regularization Path for Generalized Additive Models

gamselBayes — 2.0-1

Bayesian Generalized Additive Model Selection

gamstransfer — 3.0.2

A Data Interface Between 'GAMS' and R

ganDataModel — 1.1.6

Build a Metric Subspaces Data Model for a Data Source

ganGenerativeData — 1.5.7

Generate Generative Data for a Data Source

GANPA — 1.2

Gene Association Network-Based Pathway Analysis (GANPA)

GANPAdata — 1.0

The GANPA Datasets Package

gap — 1.5-3

Genetic Analysis Package

gap.datasets — 0.0.6

Datasets for 'gap'

GAparsimony — 0.9.5

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 — 1.0.0

Drawing Gapped Cluster Heatmaps with 'ggplot2'

gapminder — 1.0.0

Data from Gapminder

GARCHIto — 0.1.0

Class of GARCH-Ito Models

GARCHSK — 0.1.0

Estimating a GARCHSK Model and GJRSK Model

garchx — 1.5

Flexible and Robust GARCH-X Modelling

GARCOM — 1.2.2

Gene and Region Counting of Mutations ("GARCOM")

gargle — 1.5.2

Utilities for Working with Google APIs

gargoyle — 0.0.1

An Event-Based Mechanism for 'Shiny'

garma — 0.9.13

Fitting and Forecasting Gegenbauer ARMA Time Series Models

garray — 1.1.2

Generalized Array Arithmetic for Ragged Arrays with Named Margins

GAS — 0.3.4

Generalized Autoregressive Score Models

gasanalyzer — 0.4.0

Import, Recompute and Analyze Data from Portable Gas Analyzers

gaselect — 1.0.22

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

gasfluxes — 0.6-2

Greenhouse Gas Flux Calculation from Chamber Measurements

gasmodel — 0.6.0

Generalized Autoregressive Score Models

GaSP — 1.0.5

Train and Apply a Gaussian Stochastic Process Model

gasper — 1.1.6

Graph Signal Processing

gastempt — 0.5.5

Analyzing Gastric Emptying from MRI or Scintigraphy

gaston — 1.6

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

gatepoints — 0.1.5

Easily Gate or Select Points on a Scatter Plot

gateR — 0.1.15

Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation

gatoRs — 1.0.1

Geographic and Taxonomic Occurrence R-Based Scrubbing

GauPro — 0.2.11

Gaussian Process Fitting

gauseR — 1.2

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

gausscov — 1.1.2

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

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