Other packages > Find by keyword >

leaf  

Learning Equations for Automated Function Discovery
View on CRAN: Click here


Download and install leaf package within the R console
Install from CRAN:
install.packages("leaf")

Install from Github:
library("remotes")
install_github("cran/leaf")

Install by package version:
library("remotes")
install_version("leaf", "0.1.0")



Attach the package and use:
library("leaf")
Maintained by
Francisco Martins
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
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).
How to cite:
Francisco Martins (2026). leaf: Learning Equations for Automated Function Discovery. R package version 0.1.0, https://cran.r-project.org/web/packages/leaf. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited leaf R package
View leaf citation profile
Other R packages that leaf depends, imports, suggests or enhances
Complete documentation for leaf
Functions, R codes and Examples using the leaf R package
Full leaf package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA