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
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
NeedsCompilation: no
Packaged: 2022-07-15 09:53:19 UTC; ricca
Author: Riccardo Giubilei [aut, cre] (<https://orcid.org/0000-0002-1674-4886>),
  Tullia Padellini [aut],
  Pierpaolo Brutti [aut],
  Marco Brandi [ctb],
  Gabriel Nespoli [ctb],
  Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>,
    (partykit author)),
  Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>, (partykit
    author))
Maintainer: Riccardo Giubilei <riccardogbl@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-16 08:30:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:11:04 UTC; windows
