Symbolic Regression Framework R package symbolicr version 1.0.0 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>. Software Imports: data.table, GA, gtools, RcppAlgos, stats, stringr Suggests: knitr, rmarkdown, ggplot2 Danilo Tomasoni <tomasoni@cosbi.eu> Comprehensive R Archive Network (CRAN) Danilo Tomasoni [aut, cre] (ORCID: <https://orcid.org/0000-0002-8427-4230>), Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology COSBI [cph, fnd] AGPL (>= 3) 2026-04-21 application/tgz https://CRAN.R-project.org/package=symbolicr doi:10.32614/CRAN.package.symbolicr