Which R packages does this skill support?

It primarily supports PKNCA for NCA, mrgsolve for compartmental simulations, nlmixr2 for population PK, and BE/PowerTOST for bioequivalence analysis.

Is it suitable for bioequivalence studies?

Absolutely, it includes methods for both automated analysis using the BE package and manual ANOVA-based calculations for 2x2 crossover trials, including GMR and 90% CI.

Does it handle data visualization for pharmacology?

Yes, it provides ggplot2-based templates for spaghetti plots, mean concentration profiles with error bars, and model diagnostic plots (GOF).

Can I use this for population PK modeling?

Yes, it includes detailed templates for defining population models with fixed effects, random effects (IIV), and residual error using the nlmixr2 framework.

Can I simulate different dosing routes?

Yes, the skill includes code for simulating both Oral (first-order absorption) and IV bolus/infusion routes using compartmental models.

R Pharmacokinetics & PD Modeling

Name: R Pharmacokinetics & PD Modeling
Author: choxos

bychoxos

0•

数据科学与机器学习

Streamlines pharmacokinetic and pharmacodynamic modeling in R using industry-standard packages and best practices.

This skill provides a comprehensive framework for performing PK/PD analysis within R, facilitating tasks ranging from Non-Compartmental Analysis (NCA) and compartmental modeling to complex population PK via nonlinear mixed effects. It includes robust templates for bioequivalence testing, simulation-based dosing regimens, and high-quality visualizations using ggplot2 and xpose. By integrating tools like PKNCA, mrgsolve, and nlmixr2, it serves as an essential resource for pharmacometricians and data scientists working in drug development, clinical research, and academic pharmacology.

主要功能

01Standardized PK/PD visualization templates for clinical data reporting

02Population PK modeling and diagnostics using nlmixr2

030 GitHub stars

04Dynamic compartmental PK simulations and ODE solvers with mrgsolve

05Automated Non-Compartmental Analysis (NCA) using the PKNCA package

06Statistical bioequivalence (BE) testing and sample size power analysis

使用场景

01Simulating complex multiple-dosing regimens to predict steady-state drug concentrations

02Conducting statistical bioequivalence assessments for generic drug development and regulatory filing

03Analyzing clinical trial concentration data to determine clearance, volume, and half-life

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/tidyrmodelling pharmacokinetics

For use in Claude.ai and ChatGPT

主要功能

01Standardized PK/PD visualization templates for clinical data reporting

02Population PK modeling and diagnostics using nlmixr2

030 GitHub stars

04Dynamic compartmental PK simulations and ODE solvers with mrgsolve

05Automated Non-Compartmental Analysis (NCA) using the PKNCA package

06Statistical bioequivalence (BE) testing and sample size power analysis

使用场景

01Simulating complex multiple-dosing regimens to predict steady-state drug concentrations

02Conducting statistical bioequivalence assessments for generic drug development and regulatory filing

03Analyzing clinical trial concentration data to determine clearance, volume, and half-life

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/tidyrmodelling pharmacokinetics

For use in Claude.ai and ChatGPT