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nlmixr2lib

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"))

Modifying models by piping

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"))

Possible extensions

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.