Gaussian Process for Functional Data Analysis

Solving Complex Game Problems using Gaussian Processes

Fast Gaussian Process Computation Using Vecchia's Approximation

Quantifying Group Performance in Individual Competitions

Utilities for the Open Geospatial Consortium 'GeoPackage' Format

Convert Chip ID of the GPL2015 into GeneBank Accession and
ENTREZID

General Purpose Gaussian Process Modelling

Generalized Partial Linear Models (GPLM)

Various R Programming Tools for Plotting Data

Generalized Partially Linear Tree-Based Regression Model

Gaussian Process Modeling of Multi-Response and Possibly Noisy
Datasets
R package GPM version 3.0.1

Analysing and Plotting Genotype-Phenotype Maps

Gaussian Process Regression for Mortality Rates

Generalized Propensity Score Cumulative Distribution Function

Sequential Clustering Algorithm for Location Data

Gaussian Processes on Graphs and Lattices in 'Stan'

A Convenient R Interface with the OpenAI 'ChatGPT' API

Dividing Local Gaussian Processes for Online Learning Regression

Use Large Language Models Directly in your Development
Environment

Identify Text Written by Large Language Models using 'GPTZero'

Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling
R package GPvam version 3.1-1

Process GPX Files into R Data Structures

Prediction of G Quadruplexes and Other Non-B DNA Motifs

Probability of Detection for Grab Sample Selection

Granularity-Based Spatially Variable Genes Identifications

Graph-Constrained Estimation and Hypothesis Tests

Helps Grade Assignment Submissions that are R Scripts

Stochastic Quasi-Gradient Differential Evolution Optimization

Interactive Color Gradient Picker Using 'htmlwidgets' and the
Modified JS Script 'jquery-gradient-picker'
R package gradientPickerD3 version 0.1.0.0

Easy Graphs for Data Visualisation and Linear Models for ANOVA

Supervised Machine Learning for Textual Data Using Transformers
and 'Quanteda'
R package grafzahl version 0.0.11

Landscape Connectivity, Habitat, and Protected Area Networks

Guidelines for Reporting About Network Data