Methods for determining the identifiability of nonlinear mixed effects model parameters, namely:
The model is given as a set of differential equations, with specification of observed outputs, parameters and dosing. The methods assess whether the parameters can be identified from the model output, and optionally indicate dependencies between parameters.
The package can be installed using:
devtools::install_github("LeidenAdvancedPKPD/parid")More information can be found on the pkgdown site. A worked out example is available in the package. This is the same example as on the pkgdown site. A showcase can be found here. This demonstrates a different example.