https://1-0-go.r-universe.devRecent package updates in 1-0-goR-universehttps://github.com/1-0-go.pnghttps://1-0-go.r-universe.devTue, 21 Apr 2026 22:03:38 GMTfrancisco.martins@tecnico.ulisboa.pt (Francisco Martins)A unified framework for symbolic regression (SR) and multi-view symbolic regression (MvSR) designed for complex, nonlinear systems, with particular applicability to ecological datasets. The package implements a four-stage workflow: data subset generation, functional form discovery, numerical parameter optimization, and multi-objective evaluation. It provides a high-level formula-style interface that abstracts and extends multiple discovery engines: genetic programming (via PySR), Reinforcement Learning with Monte Carlo Tree Search (via RSRM), and exhaustive generalized linear model search. 'leaf' extends these methods by enabling multi-view discovery, where functional structures are shared across groups while parameters are fitted locally, and by supporting the enforcement of domain-specific constraints, such as sign consistency across groups. The framework automatically handles data normalization, link functions, and back-transformation, ensuring that discovered symbolic equations remain interpretable and valid on the original data scale. Implements methods following ongoing work by the authors (2026, in preparation).https://github.com/r-universe/1-0-go/actions/runs/39217970481Tue, 21 Apr 2026 22:03:38 GMTleaf0.1.0successhttps://1-0-go.r-universe.devhttps://github.com/cran/leafclassification_example.Rmdclassification_example.htmlBinary classification with leaf2026-04-21 22:03:382026-04-21 22:03:38cross_validation.Rmdcross_validation.htmlCross-Validation for Symbolic Regression2026-04-21 22:03:382026-04-21 22:03:38getting_started.Rmdgetting_started.htmlGetting Started with leaf2026-04-21 22:03:382026-04-21 22:03:38initialization.Rmdinitialization.htmlInitialization2026-04-21 22:03:382026-04-21 22:03:38pareto.Rmdpareto.htmlIntroduction to 2D Pareto Fronts2026-04-21 22:03:382026-04-21 22:03:38manual_engine.Rmdmanual_engine.htmlManual Symbolic Regression: Testing Hypotheses2026-04-21 22:03:382026-04-21 22:03:38minimal_example.Rmdminimal_example.htmlMinimal Example: Quick Start2026-04-21 22:03:382026-04-21 22:03:38MvSR.RmdMvSR.htmlMulti-View Symbolic Regression with leaf2026-04-21 22:03:382026-04-21 22:03:38train_test_split.Rmdtrain_test_split.htmlTrain-Test Splitting for Symbolic Regression2026-04-21 22:03:382026-04-21 22:03:38