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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 — 0.0.6

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

gamlssx — 1.0.1

Generalized Additive Extreme Value Models for Location, Scale and Shape

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

gammi — 0.1

Generalized Additive Mixed Model Interface

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 — 1.8-4

Fit Regularization Path for Generalized Additive Models

gamselBayes — 2.0-1

Bayesian Generalized Additive Model Selection

gamstransfer — 3.0.3

A Data Interface Between 'GAMS' and R

ganDataModel — 1.1.7

Build a Metric Subspaces Data Model for a Data Source

ganGenerativeData — 2.0.2

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 — 1.6

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 — 0.9.23

Fitting and Forecasting Gegenbauer ARMA Time Series Models

garray — 1.1.2

Generalized Array Arithmetic for Ragged Arrays with Named Margins

GAS — 0.3.4.1

Generalized Autoregressive Score Models

gasanalyzer — 0.4.1

Import, Recompute and Analyze Data from Portable Gas Analyzers

gaselect — 1.0.22

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

gasfluxes — 0.7

Greenhouse Gas Flux Calculation from Chamber Measurements

gasmodel — 0.6.0

Generalized Autoregressive Score Models

GaSP — 1.0.6

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 — 1.0.2

Geographic and Taxonomic Occurrence R-Based Scrubbing

gauseR — 1.2

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

gausscov — 1.1.3

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 — 1.1.1

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

gaussplotR — 0.2.5

Fit, Predict and Plot 2D Gaussians

gaussquad — 1.0-3

Collection of Functions for Gaussian Quadrature

GaussSuppression — 0.8.8

Tabular Data Suppression using Gaussian Elimination

gawdis — 0.1.5

Multi-Trait Dissimilarity with more Uniform Contributions

gb — 2.3.3

Generalize Lambda Distribution and Generalized Bootstrapping

GB2 — 2.1.1

Generalized Beta Distribution of the Second Kind: Properties, Likelihood, Estimation

GB2group — 0.3.0

Estimation of the Generalised Beta Distribution of the Second Kind from Grouped Data

GB5mcPred — 0.1.0

Gradient Boosting Algorithm for Predicting Methylation States

gbeta — 0.1.0

Generalized Beta and Beta Prime Distributions

gbfs — 1.3.9

Interface with Live Bikeshare Data

gbifdb — 1.0.0

High Performance Interface to 'GBIF'

GBJ — 0.5.4

Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies

gbm — 2.2.2

Generalized Boosted Regression Models

gbm.auto — 2023.08.31

Automated Boosted Regression Tree Modelling and Mapping Suite

gbm2sas — 3.0

Convert GBM Object Trees to SAS Code

gbmt — 0.1.3

Group-Based Multivariate Trajectory Modeling

gbp — 0.1.0.4

A Bin Packing Problem Solver

gbRd — 0.4.12

Utilities for Processing Rd Objects and Files

gbs2ploidy — 1.0

Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data

gbts — 1.2.0

Hyperparameter Search for Gradient Boosted Trees

gbutils — 0.5

Utilities for Simulation, Plots, Quantile Functions and Programming

GCalcium — 1.0.0

A Data Manipulation and Analysis Package for Calcium Indicator Data

GCalignR — 1.0.7

Simple Peak Alignment for Gas-Chromatography Data

gCat — 0.2

Graph-Based Two-Sample Tests for Categorical Data

gcbd — 0.2.6

'GPU'/CPU Benchmarking in Debian-Based Systems

GCCfactor — 1.0.1

GCC Estimation of the Multilevel Factor Model

GCD — 4.0.7

Global Charcoal Database

gcdnet — 1.0.6

The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm

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