symbolicr: Symbolic Regression Framework
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>.
| Version: | 1.0.0 |
| Imports: | data.table, GA, gtools, RcppAlgos, stats, stringr |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2026-04-21 |
| DOI: | 10.32614/CRAN.package.symbolicr |
| Author: | Danilo Tomasoni 
[aut, cre],
Fondazione The Microsoft Research - University of Trento Centre for
Computational and Systems Biology COSBI [cph, fnd] |
| Maintainer: | Danilo Tomasoni <tomasoni at cosbi.eu> |
| BugReports: | https://github.com/cosbi-research/symbolicr/issues |
| License: | AGPL (≥ 3) |
| URL: | https://github.com/cosbi-research/symbolicr |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | symbolicr results |
Documentation:
| Reference manual: | symbolicr.html , symbolicr.pdf |
| Vignettes: |
formula-analysis (source, R code) get-started (source, R code) join-results (source, R code) |
Downloads:
| Package source: | symbolicr_1.0.0.tar.gz |
| Windows binaries: | r-release: symbolicr_1.0.0.zip, r-oldrel: symbolicr_1.0.0.zip |
| macOS binaries: | r-release (arm64): symbolicr_1.0.0.tgz, r-oldrel (arm64): symbolicr_1.0.0.tgz, r-release (x86_64): symbolicr_1.0.0.tgz, r-oldrel (x86_64): symbolicr_1.0.0.tgz |
Linking:
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