R Observatory: Metrics for leaf version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

leaf

0.1.0Package record

Learning Equations for Automated Function Discovery

0packages depend

2.1Kdownloads / year

11.6%test coverage

13/13flavors OK

Overview

About

Maintained by Francisco MartinsCRAN page ↗GitHub ↗Declared funder: INESC-ID

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).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("leaf", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("NabiaAI/Leaf")

Development version from NabiaAI/Leaf. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-leaf

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-leaf

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-leaf

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK8 OK2026-04-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 290 wordsVignettesYes · 9 · dynamicNEWSYes · 67% structured · does not mention 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 16 (2 internal)includes a package overview page
Examples that run: 73%8 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 79%
Documented parameters: 100%
Return-value docs: 93%
Help pages citing references: 13%

Vignettes (9)

Binary classification with leaf HTML
Cross-Validation for Symbolic Regression HTML
Getting Started with leaf HTML
Initialization HTML
Introduction to 2D Pareto Fronts HTML
Manual Symbolic Regression: Testing Hypotheses HTML
Minimal Example: Quick Start HTML
Multi-View Symbolic Regression with leaf HTML
Train-Test Splitting for Symbolic Regression HTML

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #14,612 · ~6/day · ~178/mo

Releases R versions

Daily download trend is not available in this view yet.

29130 days

81190 days

2.1K1 year

Compare downloads with other packages →

Also on38 r2u4 autocran

How downloads are counted

Repository

nabiaai/leaf ↗Organization: NabiaAI

0Stars

0Forks

1Open issues

0Open PRs

0Releases

License file reads as MIT · Last activity 2026-10-15

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/nabiaai/leaf on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing leaf adds 34 packages (18 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, reticulate 1.6 MB.

Depends (0)

none

Imports (8)

R6utilsreticulate ggplot2 dplyr rlang rappdirs rstudioapi

LinkingTo (0)

none

Suggests (3)

rmarkdown knitr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Author

Author

Author

Copyright holder

Copyright holder of RSRM (<https://github.com/intell-sci-comput/RSRM>)

INESC-ID

Funder

Financed by FCT - PTDC/CCI-COM/5060/2021

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-04-21 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-21
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Copyright: see inst/COPYRIGHTS
Download size: 850 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("leaf")

Format

Martins, F., INESC-ID, intell-sci-comput, Branco, V., Cardoso, P., & Lopes, M. (2026). leaf: Learning Equations for Automated Function Discovery (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.leaf

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for leaf version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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