A Simulation Tool to Determine the Required Sample Size for
Repertory Grid Studies
R package gridsampler version 0.6

Improved Text Rendering Support for 'Grid' Graphics

Bayesian Inference for A|B and Bandit Marketing Tests

Genetic-Relationship-Matrix Structural Equation Modelling
(GRMSEM)

Recursive Partitioning for Graded Response Models

General Regression Neural Networks Package

Creating Flexible, Reproducible 'PDF' Reports

Generalized Regression on Orthogonal Components

Gromov-Hausdorff Type Distances for Labeled Metric Spaces

A Coding Assistant using the Fast AI Inference 'Groq'

Version-Control for CRAN, GitHub, and GitLab Packages

Inferring Group Bayesian Networks using Hierarchical Feature
Clustering

Comparing Two Groups Using Various Descriptive Statistics

R package GroupComparisons version 0.1.0

R package groupedHyperframe version 0.3.3

R package groupedHyperframe.random version 0.2.1

Efficient Estimation of Grouped Survival Models Using the Exact
Likelihood Function

Optimal Assignment of Students to Groups

'Grouphmap' is an Automated One-Step Common Analysis of Batch
Expression Profile
R package Grouphmap version 1.0.0

Independent Component Analysis for Grouped Data

Group Response Adaptive Randomization for Clinical Trials

Group Sequential Design Probabilities - With Graphical User
Interface

Multiple Testing Procedure for Grouped Hypotheses

Simulating and Modeling Group (Pooled) Testing Data

Grouped Weighted Quantile Sum Regression

Wavelet Functional ANOVA Through Markov Groves

Bayesian Non-Parametric Dependent Models for Time-Indexed
Functional Data

Implementation of the Vegetation Model ModVege

Multivariate Normal and Elliptically-Contoured Repeated
Measurements Models
R package growth version 1.1.1

Data Cleaner for Anthropometric Measurements

Simple Metrics to Summarize Growth Curves

Functional Analysis of Phenotypic Growth Data to Smooth and
Extract Traits

Bayesian reconstruction of growth velocity

Estimate Growth Rates from Experimental Data

Toolkit for Data Processing, Quality, and Statistical Models