These applications require the mlxR package for the simulation and visualization of longitudinal data.
Here, Shiny applications are embedded in html pages to illustrate some basic concepts in pharmacometrics.
|Modelling the absorption process||Modelling the distribution process||Modelling the elimination process|
These Shiny applications allow one to interactively modify the PK model and the dosage regimen, and visualize the plasmatic concentration given by this model. Here, a
R code is automatically updated on the fly according to the settings of the application.
|Modelling the ADME process with a PK model||Comparing different absorption processes||Combining oral and intraveinous administrations|
|Residual error model||Inter individual variability model||Time to event model|
|Visualize several residual error models (constant, proportional, combined, exponential, …)||Compute and display prediction intervals of a PK model assuming that the PK parameters are random variables||Define your own hazard function, display the survival and hazard functions, simulate data and display the Kaplan Meier plot|