All packages

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googleway — 2.7.8

Accesses Google Maps APIs to Retrieve Data and Plot Maps

GOplot — 1.0.2

Visualization of Functional Analysis Data

gor — 1.0

Algorithms for the Subject Graphs and Network Optimization

GORCure — 2.0

Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data

goric — 1.1-2

Generalized Order-Restricted Information Criterion

gorica — 0.1.4

Evaluation of Inequality Constrained Hypotheses Using GORICA

gosset — 1.3

Tools for Data Analysis in Experimental Agriculture

gotop — 0.1.4

Scroll Back to Top Icon in Shiny and R Markdown

govdown — 0.10.1

GOV.UK Style Templates for R Markdown

governor — 0.1.3

Speed Limiter to Control Rate of Execution of Loops

govinfoR — 0.0.3

A 'GovInfo' API Wrapper

govStatJPN — 0.1

functions to get public survey data in Japan

gower — 1.0.1

Gower's Distance

goweragreement — 1.0-1

Bayesian Gower Agreement for Categorical Data

GOxploreR — 1.2.7

Structural Exploration of the Gene Ontology (GO) Knowledge Base

goxygen — 1.0.3

In-Code Documentation for 'GAMS'

gp — 1.1

Maximum Likelihood Estimation of the Generalized Poisson Distribution

gpairs — 1.3.3

The Generalized Pairs Plot

GPareto — 1.1.8

Gaussian Processes for Pareto Front Estimation and Optimization

GPArotateDF — 2023.11-1

Derivative Free Gradient Projection Factor Rotation

GPArotation — 2024.3-1

Gradient Projection Factor Rotation

GPBayes — 0.1.0-6

Tools for Gaussian Process Modeling in Uncertainty Quantification

gpboost — 1.5.1.2

Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

gpbStat — 0.4.3

Comprehensive Statistical Analysis of Plant Breeding Experiments

GPCERF — 0.2.4

Gaussian Processes for Estimating Causal Exposure Response Curves

GPCMlasso — 0.1-7

Differential Item Functioning in Generalized Partial Credit Models

GPEMR — 0.1.0

Growth Parameter Estimation Method

GPFDA — 3.1.3

Gaussian Process for Functional Data Analysis

GPfit — 1.0-8

Gaussian Processes Modeling

gpg — 1.3.0

GNU Privacy Guard for R

GPGame — 1.2.0

Solving Complex Game Problems using Gaussian Processes

GpGp — 0.5.0

Fast Gaussian Process Computation Using Vecchia's Approximation

GPIC — 0.1.0

Quantifying Group Performance in Individual Competitions

gpindex — 0.6.2

Generalized Price and Quantity Indexes

gpk — 1.0

100 Data Sets for Statistics Education

gpkg — 0.0.8

Utilities for the Open Geospatial Consortium 'GeoPackage' Format

GPL2025 — 1.0.1

Convert Chip ID of the GPL2015 into GeneBank Accession and ENTREZID

gplite — 0.13.0

General Purpose Gaussian Process Modelling

gplm — 0.7-4

Generalized Partial Linear Models (GPLM)

gplots — 3.1.3.1

Various R Programming Tools for Plotting Data

gplsim — 1.0.0

Spline Estimation for GPLSIM

GPLTR — 1.5

Generalized Partially Linear Tree-Based Regression Model

GPM — 3.0.1

Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets

gpmap — 0.1.2

Analysing and Plotting Genotype-Phenotype Maps

GPoM — 1.4

Generalized Polynomial Modelling

GPP — 0.1

Gaussian Process Projection

GPRMortality — 0.1.0

Gaussian Process Regression for Mortality Rates

gProfileR — 0.7.0

Interface to the 'g:Profiler' Toolkit

gprofiler2 — 0.2.3

Interface to the 'g:Profiler' Toolset

gps — 1.2

General P-Splines

gps.track — 1.0.0

GPS Track Point Information Extractor

GPSCDF — 0.1.1

Generalized Propensity Score Cumulative Distribution Function

GPSeqClus — 1.4.0

Sequential Clustering Algorithm for Location Data

gptoolsStan — 0.1.0

Gaussian Processes on Graphs and Lattices in 'Stan'

gptr — 0.6.0

A Convenient R Interface with the OpenAI 'ChatGPT' API

gptstudio — 0.4.0

Use Large Language Models Directly in your Development Environment

gptzeror — 0.0.1

Identify Text Written by Large Language Models using 'GPTZero'

GPUmatrix — 1.0.2

Basic Linear Algebra with GPU

gpuR — 2.0.6

GPU Functions for R Objects

GPvam — 3.1-0

Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling

GPvecchia — 0.1.7

Scalable Gaussian-Process Approximations

gpx — 1.1.0

Process GPX Files into R Data Structures

gqlr — 0.0.2

'GraphQL' Server in R

gquad — 2.1-2

Prediction of G Quadruplexes and Other Non-B DNA Motifs

grabsampling — 1.0.0

Probability of Detection for Grab Sample Selection

GrabSVG — 0.0.2

Granularity-Based Spatially Variable Genes Identifications

Grace — 0.5.3

Graph-Constrained Estimation and Hypothesis Tests

grade — 0.2-1

Binary Grading functions for R.

gradeR — 1.0.10

Helps Grade Assignment Submissions that are R Scripts

graDiEnt — 1.0.1

Stochastic Quasi-Gradient Differential Evolution Optimization

gradientPickerD3 — 0.1.0.0

Interactive Color Gradient Picker Using 'htmlwidgets' and the Modified JS Script 'jquery-gradient-picker'

grafify — 4.0.1

Easy Graphs for Data Visualisation and Linear Models for ANOVA

grafzahl — 0.0.11

Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'

gRain — 1.4.2

Graphical Independence Networks

grainscape — 0.4.4

Landscape Connectivity, Habitat, and Protected Area Networks

gramEvol — 2.1-4

Grammatical Evolution for R

GramQuad — 0.1.1

Gram Quadrature

grand — 0.9.0

Guidelines for Reporting About Network Data

grandR — 0.2.5

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

grangers — 0.1.0

Inference on Granger-Causality in the Frequency Domain

granova — 2.2

Graphical Analysis of Variance

granovaGG — 1.4.1

Graphical Analysis of Variance Using ggplot2

grantham — 0.1.2

Calculate the Grantham Distance

GRAPE — 0.1.1

Gene-Ranking Analysis of Pathway Expression

grapes — 1.0.0

Make Binary Operators

grapesAgri1 — 1.1.0

Collection of Shiny Apps for Agricultural Research Data Analysis

graph3d — 0.2.0

A Wrapper of the JavaScript Library 'vis-graph3d'

graph4lg — 1.8.0

Build Graphs for Landscape Genetics Analysis

graphclust — 1.3

Hierarchical Graph Clustering for a Collection of Networks

GrapheR — 1.9-86-5

A Multi-Platform GUI for Drawing Customizable Graphs in R

grapherator — 1.0.0

A Modular Multi-Step Graph Generator

graphframes — 0.1.2

Interface for 'GraphFrames'

graphhopper — 0.1.2

An R Interface to the 'GraphHopper' Directions API

graphicalExtremes — 0.3.2

Statistical Methodology for Graphical Extreme Value Models

graphicalMCP — 0.2.5

Graphical Multiple Comparison Procedures

graphicalVAR — 0.3.4

Graphical VAR for Experience Sampling Data

graphkernels — 1.6.1

Graph Kernels

graphlayouts — 1.1.1

Additional Layout Algorithms for Network Visualizations

graphon — 0.3.5

A Collection of Graphon Estimation Methods

graphPAF — 2.0.0

Estimating and Displaying Population Attributable Fractions

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