This is a model library for nlmixr2. The package allows a few ways to interact with the model library:

# See all available models
modellib()
modellib(name="PK_1cmt")
# Switch residual error to additive
# Add inter-individual variability on ka and v and switch residual error to
modellib(name="PK_1cmt", eta = c("lka", "lv"), reserr = c("addSd", "propSd"))
modellib(name="PK_1cmt") %>%
addResErr(c("addSd", "propSd"))
The 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.