'NONMEM' has been a tool for running nonlinear mixed
effects models since the 80s and is still used today (Bauer 2019
<doi:10.1002/psp4.12404>). This tool allows you to convert
'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016)
<doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax
(Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2'
syntax requires the residual specification to be included and it
is not always translated. If available, the 'rxode2' model will
read in the 'NONMEM' data and compare the simulation for the
population model ('PRED') individual model ('IPRED') and residual
model ('IWRES') to immediately show how well the translation is
performing. This saves the model development time for people who are
creating an 'rxode2' model manually. Additionally, this package reads
in all the information to allow simulation with uncertainty (that is the
number of observations, the number of subjects, and the covariance
matrix) with a 'rxode2' model. This is complementary to the
'babelmixr2' package that translates 'nlmixr2' models to 'NONMEM' and can
convert the objects converted from 'nonmem2rx' to a full 'nlmixr2' fit.
Tests Vignettes
Available Snapshots
This version of nonmem2rx can be found in the following snapshots:
