April 29, 2015

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, â€¦) | 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 |