Roadmap
This page lists planned and in-progress work for FeRx. Timelines are indicative and may shift as priorities evolve. Feel free to reach out with any feature requests, research project proposals, or feedback.
Short term (Q2–Q3 ’26)
- Improve testing infrastructure with larger coverage, with more real datasets and models.
- NONMEM and nlmixr2 model import. nlmixr2 models can be supported in a non-lossy way, since they can be read from the R object.
- Increase modularity of FeRx, so external users can more easily write extensions with minimal (if any) modifications to FeRx core code.
Medium term (Q4 ’26)
- Release of v1.0.0.
- Benchmark vignette and subsequent publication in a journal.
- Support for count data models (Poisson).
- Support for Item Response Theory models.
- Support for optimal design analyses. At least computation of the FIM, and basic optimal design searches. Potentially in a separate R package.
Recently delivered
Previously on this roadmap, and available as of v0.4.0 (see the changelog):
- TTE / survival modeling, including joint PK–survival models.
- Stiff ODE solvers.
- FREM estimation.
- Covariate search: GAM screening and SCM.
- Exact analytic sensitivities through the ODE solver.
- Priors on model parameters.
- Mixture models.
Ongoing research projects
- Copula-estimation of between-subject variability with SAEM.
- Improved support for neural nets: deep compartmental models and neural ODEs.