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symbolicr

1.0.0Package record

Symbolic Regression Framework

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Danilo TomasoniCRAN page ↗GitHub ↗Issues ↗Declared funder: Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology COSBI

Find non-linear formulas that fits your input data. You can systematically explore and memorize the possible formulas and it's cross-validation performance, in an incremental fashion. Three main interoperable search functions are available: 1) random.search() performs a random exploration, 2) genetic.search() employs a genetic optimization algorithm, 3) comb.search() combines best results of the first two. For more details see Tomasoni et al. (2026) doi:10.1208/s12248-026-01232-z.

Changes in 1.0.0
  • Initial CRAN submission.
  • All tests wrapped in *donttest* because they take more than 5 sec to run even if they are toy examples.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK8 OK2026-04-22
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 482 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
19
Examples that run
21%3 run in a plain check · 11 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
82%
Documented parameters
86%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #12,322 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
31530 days
90790 days
2.2K1 year
Compare downloads with other packages →
Also on37 r2u3 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
2Releases
93Commits
1Commit identities
License file reads as AGPL-3.0 · 93 commits · Last activity 2026-08-31 · 0% stars, 30d · Default branch at 1.0.0.9000, ahead of CRAN 1.0.0 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
53
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2026-07-07 · 02026-08-10 · 1
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/cosbi-research/symbolicr on 2026-10-22.

Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing symbolicr adds 19 packages (13 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, GA 4.8 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    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
AGPL (>= 3) OSI
Download size
61 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("symbolicr")
Tomasoni, D., & COSBI, F. T. M. R. -. U. o. T. C. f. C. a. S. B. (2026). symbolicr: Symbolic Regression Framework (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.symbolicr

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for symbolicr version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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