Can I visualize concentration-time data?

Yes, the skill includes ggplot2 templates for creating spaghetti plots, mean-SD profiles, and semi-logarithmic visualizations for individual and population data.

Which R packages are supported by this skill?

The skill integrates with leading pharmaceutical R packages including PKNCA for non-compartmental analysis, mrgsolve for simulation, and nlmixr2 for population PK modeling.

Does it support population PK modeling?

Absolutely. It provides templates for defining fixed and random effects, incorporating covariates, and generating model diagnostics like VPC and goodness-of-fit plots.

Can I perform bioequivalence testing with this skill?

Yes, it includes specialized modules for 2x2 crossover studies, geometric mean ratio (GMR) calculations, and 90% confidence interval assessments according to regulatory standards.

R Pharmacokinetics & PD Modeling

Name: R Pharmacokinetics & PD Modeling
Author: choxos

bychoxos

0•

Ciencia de Datos y ML

Performs comprehensive pharmacokinetic and pharmacodynamic modeling in R, from non-compartmental analysis to complex population PK simulations.

This skill provides a specialized framework for biostatisticians and pharmaceutical researchers to conduct advanced PK/PD analysis within R. It streamlines complex workflows including Non-Compartmental Analysis (NCA) via PKNCA, compartmental modeling and simulations using mrgsolve, and population pharmacokinetics with nonlinear mixed effects via nlmixr2. Whether calculating bioequivalence for clinical trials or generating diagnostic visualizations like Visual Predictive Checks (VPC), this skill ensures adherence to industry standards and best practices in computational pharmacology.

Características Principales

01Automated Non-Compartmental Analysis (NCA) using the PKNCA package

02Statistical bioequivalence assessment for 2x2 crossover studies

03Advanced data visualization including spaghetti plots and VPC diagnostics

04Compartmental PK simulations for one and two-compartment models with mrgsolve

050 GitHub stars

06Population PK modeling with nonlinear mixed effects using nlmixr2

Casos de Uso

01Conducting bioequivalence studies to compare generic formulations against reference products using 90% CI

02Estimating primary PK parameters like Cmax, Tmax, and AUC from clinical trial concentration data

03Simulating drug concentration-time profiles for various dosing regimens to optimize clinical protocols

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/biostatagent pharmacokinetics

For use in Claude.ai and ChatGPT

Características Principales

01Automated Non-Compartmental Analysis (NCA) using the PKNCA package

02Statistical bioequivalence assessment for 2x2 crossover studies

03Advanced data visualization including spaghetti plots and VPC diagnostics

04Compartmental PK simulations for one and two-compartment models with mrgsolve

050 GitHub stars

06Population PK modeling with nonlinear mixed effects using nlmixr2

Casos de Uso

01Conducting bioequivalence studies to compare generic formulations against reference products using 90% CI

02Estimating primary PK parameters like Cmax, Tmax, and AUC from clinical trial concentration data

03Simulating drug concentration-time profiles for various dosing regimens to optimize clinical protocols