DESCRIPTION

Package: e2tree
Title: Explainable Ensemble Trees
Version: 0.1.2
Authors@R: c(
    person(given = "Massimo",
           family = "Aria",
           role = c("aut", "cre", "cph"),
           email = "aria@unina.it",
           comment = c(ORCID = "0000-0002-8517-9411")),
           person(given = "Agostino",
           family = "Gnasso",
           role = "aut",
           email = "agostino.gnasso@unina.it",
           comment = c(ORCID = "0000-0002-8046-3923"))
           )
Description: The Explainable Ensemble Trees 'e2tree' approach has been proposed by Aria et al. (2024) <doi:10.1007/s00180-022-01312-6>. It aims to explain and interpret decision tree ensemble models using a single tree-like structure. 'e2tree' is a new way of explaining an ensemble tree trained through 'randomForest' or 'xgboost' packages.
License: MIT + file LICENSE
URL: https://github.com/massimoaria/e2tree
BugReports: https://github.com/massimoaria/e2tree/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports:
    dplyr,
    doParallel,
    parallel,
    foreach,
    future.apply,
    ggplot2,
    Matrix,
    partitions,
    purrr,
    tidyr,
    randomForest,
    rpart.plot,
    Rcpp,
    RSpectra,
    ape
LazyData: true
LinkingTo: Rcpp
Suggests: 
    testthat (>= 3.0.0)
Config/testthat/edition: 3