Estimate Quantitative Genetics Parameters from Generalised
Linear Mixed Models
R package QGglmm version 0.8.0

Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation
R package qgraph version 1.9.8

A 'shiny' Application for Active Learning Instruction in
Introductory Quantitative Genetics
R package qgshiny version 0.1.0

Construct Nomograms for Competing Risks Regression Models

Quantity-Intensity Relationship of Soil Potassium

Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles
R package Qindex version 0.1.7

Q-Kernel-Based and Conditionally Negative Definite Kernel-Based
Machine Learning Tools
R package qkerntool version 1.19

R Bindings to the Calendaring Functionality of 'QuantLib'

Processing Data for Quantitative Language Comparison

Utility Sparse Matrix Functions for Quantitative Language
Comparison

Reinforcement Learning using the Q Learning Algorithm

Managing and Building of Quarterly Life Tables

Statistical Transformations for Post-Processing Climate Model
Output
R package qmap version 1.0-6

Analysis of Subjective Perspectives Using Q Methodology

Methods for Quantitative Magnetic Resonance Imaging ('qMRI')

Powerful 'SAS' Inspired Concepts for more Efficient Bigger
Outputs
R package qol version 1.2.0

Scales Score Calculation from Quality of Life Data

Statistical Analysis of Count Data and Quantal Data

Modelling and Analysis of Real-Time PCR Data

Estimation of Ploidy and Detection of Aneuploidy Using
Genotyping Data

Noncompartmental Pharmacokinetic Analysis by qPharmetra

Quantitative Pest Risk Assessment at the Entry Step

Creates Simultaneous Testing Bands for QQ-Plots

Quantile-Quantile Plot Extensions for 'ggplot2'

Self Calibrating Quantile-Quantile Plots for Visual Testing

Structural Breaks in Quantile Regression

Quantal Response Analysis for Dose-Mortality Data

A 'Shiny' Gadget for Interactive 'QRA' Visualizations

A Novel Quantile Regression Approach for eQTL Discovery

Nonlinear and Penalized Quantile Regression Coefficients
Modeling

Block Bootstrap Methods for Quantile Regression in Time Series