<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Learning Equations for Automated Function Discovery</dc:title>
  <dc:title>R package leaf version 0.1.0</dc:title>
  <dc:description>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).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: R6, utils, reticulate (&gt;= 1.30), ggplot2, dplyr, rlang,
rappdirs, rstudioapi</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Francisco Martins &lt;francisco.martins@tecnico.ulisboa.pt&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Francisco Martins [cre, aut, cph] (ORCID:
    &lt;https://orcid.org/0009-0007-9941-2994&gt;),
  Pedro Cardoso [aut] (ORCID: &lt;https://orcid.org/0000-0001-8119-9960&gt;),
  Manuel Lopes [aut] (ORCID: &lt;https://orcid.org/0000-0002-6238-8974&gt;),
  Vasco Branco [aut] (ORCID: &lt;https://orcid.org/0000-0001-7797-3183&gt;),
  INESC-ID [fnd] (Financed by FCT - PTDC/CCI-COM/5060/2021),
  intell-sci-comput [cph] (Copyright holder of RSRM
    (&lt;https://github.com/intell-sci-comput/RSRM&gt;))</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=leaf/LICENSE)</dc:rights>
  <dc:date>2026-04-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=leaf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.leaf</dc:identifier>
</oai_dc:dc>