We are excited to announce a new feature in nlmixr2: mceta for FOCEi. This is a hybrid approach combines Monte-Carlo sampling with the classical FOCEi algorithm bringing flexibility & robustness to nonlinear mixed-effects modeling in pharmacometrics. #nlmixr2 #rstats

nlmixr2 verse 4.0+ | nlmixr2 nlmixr: open source nonlinear mixed-effects modeling for R.

New features in #nlmixr2 4.0, a #rstats package include a vere-style loading, importing models from older versions of nlmixr2 and Rstudio bug fixes. See blog.nlmixr2.org/blog/2025-08...

nlmixr2 Neural Network ODEs with pmxNODE | nlmixr2 nlmixr: open source nonlinear mixed-effects modeling for R.

Do you want to do pharmacometrics with neural network ODEs? You can use nlmixr2 as well as other tools. See this month's blog post:

blog.nlmixr2.org/blog/2025-04...

#rstats #nlmixr2

Seriously though, nice job. What did you use for the video? Looks like something we could apply to #nlmixr2 as well

There are currently shiny modules in development for building ODE based models and running adaptive clinical trial simulations in #rxode2. It can take outputs from #nlmixr2 and #NONMEM. To use those you just need to run ruminate with devmode set to TRUE.