Package: etree
Title: Classification and Regression with Structured and Mixed-Type
        Data
Version: 0.1.0
Authors@R: c(
    person("Riccardo",
           "Giubilei",
           role = c("aut", "cre"),
           email = "riccardogbl@gmail.com",
           comment = c(ORCID = "0000-0002-1674-4886")),
    person("Tullia",
           "Padellini",
           role = "aut",
           email = "tullia.padellini@bancaditalia.it"),
    person("Pierpaolo",
           "Brutti",
           role = "aut",
           email = "pierpaolo.brutti@uniroma1.it",
           comment = c(ORCID = "")),
    person("Marco",
           "Brandi",
           role = "ctb",
           email = "marco.brandi@uniroma1.it"),
    person("Gabriel",
           "Nespoli",
           role = "ctb",
           email = "gnmesquita1@gmail.com"),
    person("Torsten",
           "Hothorn",
           role = "ctb",
           email = "Torsten.Hothorn@R-project.org",
           comment = c(ORCID = "0000-0001-8301-0471", "(partykit author)")),
    person("Achim",
           "Zeileis",
           role = "ctb",
           email = "Achim.Zeileis@R-project.org",
           comment = c(ORCID = "0000-0003-0918-3766", "(partykit author)"))
           )
Description: Implementation of Energy Trees, a statistical model to
        perform classification and regression with structured and
        mixed-type data. The model has a similar structure to
        Conditional Trees, but brings in Energy Statistics to test
        independence between variables that are possibly structured and
        of different nature. Currently, the package covers functions
        and graphs as structured covariates. It builds upon 'partykit'
        to provide functionalities for fitting, printing, plotting, and
        predicting with Energy Trees. Energy Trees are described in
        Giubilei et al. (2022) <arXiv:2207.04430>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0
Depends: R (>= 3.7.0)
Imports: brainGraph, cluster, energy, fda.usc (>= 2.0.0), igraph,
        NetworkDistance, parallel, partykit, survival, TDA, usedist
Suggests: knitr, MLmetrics, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/ricgbl/etree
BugReports: https://github.com/ricgbl/etree/issues
Config/pak/sysreqs: libglpk-dev libgmp3-dev make libgsl0-dev
        libxml2-dev
Repository: https://ricgbl.r-universe.dev
Date/Publication: 2022-07-15 09:48:40 UTC
RemoteUrl: https://github.com/ricgbl/etree
RemoteRef: HEAD
RemoteSha: 190143c70815145e1b7b7cb7167158569facc04b
NeedsCompilation: no
Packaged: 2026-07-02 08:42:21 UTC; root
Author: Riccardo Giubilei [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1674-4886>),
  Tullia Padellini [aut],
  Pierpaolo Brutti [aut],
  Marco Brandi [ctb],
  Gabriel Nespoli [ctb],
  Torsten Hothorn [ctb] (ORCID: <https://orcid.org/0000-0001-8301-0471>,
    (partykit author)),
  Achim Zeileis [ctb] (ORCID: <https://orcid.org/0000-0003-0918-3766>,
    (partykit author))
Maintainer: Riccardo Giubilei <riccardogbl@gmail.com>