e-Campsis documentation
2025-05-28
Chapter 1 About
e-Campsis is a free web application developed by Calvagone that provides an intuitive and user-friendly interface for setting up population PK/PD simulations. The app is built on the R-package campsis, which serves as a powerful frontend for running model-based simulations using mrgsolve or rxode2.
1.1 e-Campsis versions
1.1.1 e-Campsis free
e-Campsis free is, as the name suggests, freely accessible to everyone at https://ecampsis.shinyapps.io/free/.
It comes with certain limitations regarding the size of the simulation and misses some functionality of the pro-version.
1.1.2 e-Campsis pro
The professional version of e-Campsis is available as a yearly subscription and includes the following additional functionality:
- Save/load e-Campsis projects
- NONMEM®, Monolix® and rxode2 code import
- Number of arms, scenarios, subjects, observations only limited by memory
- Advanced customization of plots
- NCA & summary statistics
- Sensitivity analysis
- Forest plots
- Overlay external data on plots
- Bootstrap covariates from external file or NHANES
- Replicate simulation with parameter uncertainty
- Personalized support via email
For further information, contact us at the following e-mail address: campsis@calvagone.com
1.2 Application interface
The app consists of 8 main sections:
- Model: a powerful model editor to edit your Campsis model online. Try out one of the numerous models available from the library and adapt it to your needs.
- Trial design: an easy-to-use interface to quickly set-up the dosing regimen, observation times and covariates.
- Simulation: a single screen dedicated to the simulation configuration and visualization of the results. Explore different scenarios of parameter settings quickly and interactively. Overlay external data and produce beautiful ggplot2-based plots.
- Post-processing: here you can define summary variables such as non-compartmental PK parameters that you want to derive from your simulation results and show them in a table.
- Sensitivity analysis: explore the effects of changing your model parameters on any outcome parameter (NCA metric) you have defined in the post-processing phase.
- Forest plots: easily define and generate nice-looking forest plots and explore the impact of covariates on any outcome parameter.
- Settings: define the time units of the user interface. More settings will come soon.
- Download: last but not least, download the model, parameters and the whole code of the simulation to reproduce what you see in the app on your computer using the open-source Campsis suite.