Package: daltoolbox
Title: Leveraging Experiment Lines to Data Analytics
Version: 1.3.727
Authors@R: 
  c(    person(given = "Eduardo", family = "Ogasawara", role = c("aut", "ths", "cre"), 
               email = "eogasawara@ieee.org", comment = c(ORCID = "0000-0002-0466-0626")),
        person(given = "Ana Carolina", family = "SÃƒÂ¡", role = c("aut"), email = "ana.silva.17@aluno.cefet-rj.br"),
        person(given = "Antonio", family = "Castro", role = c("aut"), email = "antonio.castro@eic.cefet-rj.br"),
        person(given = "Caio", family = "Santos", role = c("aut"), email = "caio.souza.4@aluno.cefet-rj.br"),
        person(given = "Diego", family = "Carvalho", role = c("ctb"), email = "d.carvalho@ieee.org"),
        person(given = "Diego", family = "Salles", role = c("aut"), email = "diego.salles@eic.cefet-rj.br"),
        person(given = "Eduardo", family = "Bezerra", role = c("ctb"), email = "ebezerra@cefet-rj.br"),
        person(given = "Esther", family = "Pacitti", role = c("ctb"), email = "esther.pacitti@lirmm.fr"),
        person(given = "Fabio", family = "Porto", role = c("ctb"), email = "fporto@lncc.br"),
        person(given = "Janio", family = "Lima", role = c("aut"), email = "janio.lima@eic.cefet-rj.br"),
        person(given = "Lucas", family = "Tavares", role = c("aut"), email = "lucas.tavares@eic.cefet-rj.br"),
        person(given = "Rafaelli", family = "Coutinho", role = c("ctb"), email = "rafaelli.coutinho@cefet-rj.br"),
        person(given = "Rebecca", family = "Salles", role = "aut", email = "rebecca.salles@eic.cefet-rj.br"),
        person(given = "Vinicius", family = "Saidy", role = "aut", email = "vinicius.saidy@aluno.cefet-rj.br"),
        person(given = "CEFET/RJ", role = "cph")        
   )
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
License: MIT + file LICENSE
URL: https://cefet-rj-dal.github.io/daltoolbox/,
        https://github.com/cefet-rj-dal/daltoolbox
BugReports: https://github.com/cefet-rj-dal/daltoolbox/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.3
Imports: methods, FNN, caret, arules, arulesSequences, class, cluster,
        dbscan, dplyr, e1071, ggplot2, mclust, nnet, randomForest,
        reshape, tree
Suggests: adabag, glmnet, leaps, ipred, xgboost, arulesViz, GGally,
        igraph, rpart, MASS
NeedsCompilation: no
Packaged: 2026-03-11 21:42:20 UTC; gpca
Author: Eduardo Ogasawara [aut, ths, cre] (ORCID:
    <https://orcid.org/0000-0002-0466-0626>),
  Ana Carolina SÃƒÂ¡ [aut],
  Antonio Castro [aut],
  Caio Santos [aut],
  Diego Carvalho [ctb],
  Diego Salles [aut],
  Eduardo Bezerra [ctb],
  Esther Pacitti [ctb],
  Fabio Porto [ctb],
  Janio Lima [aut],
  Lucas Tavares [aut],
  Rafaelli Coutinho [ctb],
  Rebecca Salles [aut],
  Vinicius Saidy [aut],
  CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Repository: CRAN
Date/Publication: 2026-03-12 06:10:19 UTC
Built: R 4.6.0; ; 2026-04-25 13:39:06 UTC; unix
