CodingRessources is a curated collection of tutorials, documentation, and tools for coding with R, report generation (Quarto), Shiny app development, and pharmacometric modeling.
This repository is designed for students and anyone eager to learn modern methods in pharmacometric analysis, clinical study design, and related computational topics.
- R for Data Science
- Mastering Shiny
- Golem for Shiny
- Epidemiologist Handbook: From Base R to Data Analysis
- Machine Learning & Modelling with TidyModels
- Data Visualization with ggplot2
- What They Forgot to Teach You About R
- MICE Package Book (Multiple Imputation)
- MICE in R: Practical Tutorial
- Flexible Imputation (Longitudinal Data) - S. Van Buuren
- Post-Imputation Checks with MICE
- Basic Concepts in Population Modeling - Part 1 (Mould & Upton, 2012)
- Part 2 (Mould & Upton, 2013)
- Part 3 (Mould & Upton, 2014)
The goal of this repository is to provide a comprehensive list of high-quality tutorials and tools for students and professionals interested in pharmacometric analysis and clinical study design.
Maintained by: R. Garreau
Contributions are welcome!
If you have suggestions, new resources, or corrections, please open an issue or submit a pull request.