nlme

Covers the basics of mixed models, mostly using @lme4

Population Experimental Design (PopED) in R

Open-source nonlinear mixed-effects (NLME) modeling engine for population PK/PD and pharmacometrics, with FOCEI, SAEM, analytical PK, and ODE models.

Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).

Workshop on using Mixed Models with R

An R package for extracting results from mixed models that are easy to use and viable for presentation.

nlme 예제 코드를 실행한 결과를 정리하였습니다. Mixed-Effects Models in S and S-PLUS https://asancpt.github.io/nlme

Scripts for NLME Engine benchmarks

📈🌱 Mixed Models for Agriculture in R

🔮 Easy access to model information for various model objects

GitHub repository for the paper: Fine-Tuning of Energy Levels Regulates SUC2 via a SNF1-Dependent Feedback Loop (https://www.frontiersin.org/articles/10.3389/fphys.2020.00954/full?report=reader)

GLS with learned correlation and variance structures for Python — equivalent of R's nlme::gls()

pelatihan-2020-metal

Documentation for ferx, an open-source NLME platform for population PK/PD with an R package and high-performance Rust engine.

This repository contains all the R code used in my dissertation project at the University of Manchester, 2025 (MATH6000S). Note that the regression tree code also contains the gradient boosting code, the EDA code contains the code for the plots seen in section 4.1, and the heights code is used in section 1.1.

microbial communities analysis, gut microbiome analysis

My GitHub profile README — Pharmacometrics | PK/PD | Uppsala