All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

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 — 0.1.4

Visualize Genomic Mutation Data Using an Interactive Lollipop Diagram

GA — 3.2

Genetic Algorithms

GAabbreviate — 1.3

Abbreviating Items Measures using Genetic Algorithms

GABi — 0.1

Framework for Generalized Subspace Pattern Mining

GAD — 1.1.1

GAD: Analysis of variance from general principles

GADAG — 0.99.0

A Genetic Algorithm for Learning Directed Acyclic Graphs

GaDiFPT — 1.0

First Passage Time Simulation for Gaussian Diffusion Processes

GADMTools — 3.5-1

Easy Use of 'GADM' Shapefiles

gafit — 0.5.1

Genetic Algorithm for Curve Fitting

gaiah — 0.0.2

Genetic and Isotopic Assignment Accounting for Habitat Suitability

gains — 1.2

Lift (Gains) Tables and Charts

GAIPE — 1.0

Graphical Extension with Accuracy in Parameter Estimation (GAIPE)

galgo — 1.4

Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

galts — 1.3.1

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

gam — 1.16

Generalized Additive Models

gamair — 1.0-0

Data for "GAMs: An Introduction with R"

gambin — 2.4.0

Fit the Gambin Model to Species Abundance Distributions

GAMBoost — 1.2-3

Generalized linear and additive models by likelihood based boosting

gamboostLSS — 2.0-1

Boosting Methods for 'GAMLSS'

gamboostMSM — 1.1.87

Estimating multistate models using gamboost()

gamclass — 0.58

Functions and Data for a Course on Modern Regression and Classification

gamCopula — 0.0-4

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 — 1.0.0

Palettes Inspired in the TV Show "Game of Thrones"

games — 1.1.2

Statistical Estimation of Game-Theoretic Models

gamesGA — 1.1.3.5

Genetic Algorithm for Sequential Symmetric Games

GameTheory — 2.7

Cooperative Game Theory

GameTheoryAllocation — 1.0

Tools for Calculating Allocations in Game Theory

gamlr — 1.13-5

Gamma Lasso Regression

gamlss — 5.1-2

Generalised Additive Models for Location Scale and Shape

gamlss.add — 5.0-1

Extra Additive Terms for GAMLSS Models

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 — 5.1-0

GAMLSS Data

gamlss.demo — 4.3-3

Demos for GAMLSS

gamlss.dist — 5.1-1

Distributions for Generalized Additive Models for Location Scale and Shape

gamlss.mx — 4.3-5

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 — 5.1-0

Generating and Fitting Truncated `gamlss.family' Distributions

gamlss.util — 4.3-4

GAMLSS Utilities

gamlssbssn — 0.1.0

Bimodal Skew Symmetric Normal Distribution

gamm4 — 0.2-5

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

gamm4.test — 0.1.0

Comparing Nonlinear Curves and Surface Estimations by Semiparametric Methods

gammSlice — 2.0-2

Generalized Additive Mixed Model Analysis via Slice Sampling

gamreg — 0.3

Robust and Sparse Regression via Gamma-Divergence

gamRR — 0.4.0

Calculate the RR for the GAM

gamsel — 1.8-1

Fit Regularization Path for Generalized Additive Models

ganalytics — 0.10.6

Interact with 'Google Analytics'

GANPA — 1.0

Gene Association Network-based Pathway Analysis

GANPAdata — 1.0

The GANPA Datasets Package

gap — 1.1-22

Genetic Analysis Package

gap.datasets — 0.0.2

Datasets for 'gap'

GAparsimony — 0.9.2

Searching Parsimony Models with Genetic Algorithms

gapfill — 0.9.6

Fill Missing Values in Satellite Data

gapmap — 0.0.4

Functions for Drawing Gapped Cluster Heatmap with ggplot2

gapminder — 0.3.0

Data from Gapminder

GAR — 1.1

Authorize and Request Google Analytics Data

garray — 1.1.2

Generalized Array Arithmetic for Ragged Arrays with Named Margins

GAS — 0.3.0

Generalized Autoregressive Score Models

gaselect — 1.0.5

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

gasfluxes — 0.4-1

Greenhouse Gas Flux Calculation from Chamber Measurements

gastempt — 0.4.3

Analyzing Gastric Emptying from MRI or Scintigraphy

gaston — 1.5.4

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

gatepoints — 0.1.3

Easily Gate or Select Points on a Scatter Plot

GauPro — 0.2.2

Gaussian Process Fitting

gaussDiff — 1.1

Difference measures for multivariate Gaussian probability density functions

gaussfacts — 0.0.2

The Greatest Mathematician Since Antiquity

gaussquad — 1.0-2

Collection of functions for Gaussian quadrature

gazepath — 1.2

Parse Eye-Tracking Data into Fixations

gb — 2.3.3

Generalize Lambda Distribution and Generalized Bootstrapping

GB2 — 2.1

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

GB2group — 0.1.0

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

gbfs — 1.1.0

Interface with General Bikeshare Feed Specification Files

GBJ — 0.5.2

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

gbm — 2.1.5

Generalized Boosted Regression Models

gbm2sas — 2.1

Convert GBM Object Trees to SAS Code

gbp — 0.1.0.4

A Bin Packing Problem Solver

gbRd — 0.4-11

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 — 0.4-0

Simulation of Real and Complex Numbers and Small Programming Utilities

GCAI.bias — 1.0

Guided Correction Approach for Inherited bias (GCAI.bias)

GCalignR — 1.0.2

Simple Peak Alignment for Gas-Chromatography Data

gCat — 0.1

Graph-based two-sample tests for categorical data

gcbd — 0.2.6

'GPU'/CPU Benchmarking in Debian-Based Systems

GCD — 4.0.4

Global Charcoal Database

gcdnet — 1.0.5

LASSO and Elastic Net (Adaptive) Penalized Least Squares, Logistic Regression, HHSVM, Squared Hinge SVM and Expectile Regression using a Fast GCD Algorithm

gcerisk — 18.02.22

Generalized Competing Event Model

gcForest — 0.2.7

Deep Forest Model

gcite — 0.9.3

Google Citation Parser

gcKrig — 1.1.3

Analysis of Geostatistical Count Data using Gaussian Copulas

gclus — 1.3.2

Clustering Graphics

gcmr — 1.0.1

Gaussian Copula Marginal Regression

gconcord — 0.41

Concord method for Graphical Model Selection

gcookbook — 2.0

Data for "R Graphics Cookbook"

Next page