arXiv stat.ML
· Papers
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
arXiv:2606.24427v1 Announce Type: cross Abstract: Nonlinear mixed-effects models are widely used to analyze longitudinal data, but existing open-source software often supports only a limited subset of the model structures, inference methods, machine-learning components, automatic differentiation techniques, and random-