Package: symbolicr
Title: Symbolic Regression Framework
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>.
Version: 1.0.0.9000
Authors@R: c(
    person("Danilo", "Tomasoni", , "tomasoni@cosbi.eu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8427-4230")),
    person("Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology", "COSBI", , "info@cosbi.eu", role = c("cph", "fnd"))
    )
URL: https://github.com/cosbi-research/symbolicr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: data.table, GA, gtools, RcppAlgos, stats, stringr
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
License: AGPL (>= 3)
BugReports: https://github.com/cosbi-research/symbolicr/issues
Config/pak/sysreqs: libgmp3-dev libicu-dev
Repository: https://cosbi-research.r-universe.dev
Date/Publication: 2026-08-31 08:08:09 UTC
RemoteUrl: https://github.com/cosbi-research/symbolicr
RemoteRef: HEAD
RemoteSha: 1cd31e61d2686ea79606ca29ec05e91f6feb3506
NeedsCompilation: no
Packaged: 2026-10-09 11:52:09 UTC; root
Author: 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]
Maintainer: Danilo Tomasoni <tomasoni@cosbi.eu>