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symbolicr  

Symbolic Regression Framework
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("symbolicr", "1.0.0")



Attach the package and use:
library("symbolicr")
Maintained by
Danilo Tomasoni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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>.
How to cite:
Danilo Tomasoni (2026). symbolicr: Symbolic Regression Framework. R package version 1.0.0, https://cran.r-project.org/web/packages/symbolicr. Accessed 17 Jul. 2026.
Previous versions and publish date:
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Complete documentation for symbolicr
Functions, R codes and Examples using the symbolicr R package
Full symbolicr package functions and examples
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