A new open-source Julia package called NoLimits.jl has been released, designed to offer flexible and composable nonlinear mixed-effects modeling. This package addresses limitations in existing software by supporting a wider range of model structures, inference methods, machine-learning components, and random-effects distributions. NoLimits.jl utilizes a macro-based language to construct models from various building blocks, including differential equations and neural networks, and integrates multiple inference techniques for both frequentist and Bayesian approaches. AI
IMPACT Enhances capabilities for statistical modeling, potentially impacting AI research that relies on complex longitudinal data analysis.
RANK_REASON The cluster contains an academic paper describing a new software package for statistical modeling.
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