This is a model library for
nlmixr2. The package allows a few ways to interact with the model library:
# See all available models modellib() # Load the "PK_1cmt" model modellib(name="PK_1cmt") # Switch residual error to additive modellib(name="PK_1cmt", reserr = "addSd") # Add inter-individual variability on ka and v and switch residual error to # additive and proportional modellib(name="PK_1cmt", eta = c("lka", "lv"), reserr = c("addSd", "propSd"))
You may also modify any model from the library (or your own models) with a piping interface. The code below adds inter-individual variability on ka and v and then switches residual error to additive and proportional.
modellib(name="PK_1cmt") %>% addEta(c("lka", "lv") %>% addResErr(c("addSd", "propSd"))
modellib function is set-up in way that it can be easily extended and used in other applications. A possible extension could be implementation in a shiny app. An app can be created to easily add new models to the model library database (curated?), and directly make these models available for other users. I believe there can be added value in having a base model library that can be easily extended by the community this way.