Package: heimdall
Title: Drift Adaptable Models
Version: 1.2.727
Authors@R: 
  c(
    person(given = "Lucas", family = "Tavares", role = c("aut"), email = "lucas.giusti@eic.cefet-rj.br"),
    person(given = "Leonardo", family = "Carvalho", role = c("aut"), email = "lm.carvalho@petrobras.com.br"),
    person(given = "Rodrigo", family = "Machado", role = c("aut"), email = "rodrigo.machado@eic.cefet-rj.br"),
    person(given = "Diego", family = "Carvalho", role = c("ctb"), email = "d.carvalho@ieee.org"),
    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 = "Eduardo", family = "Ogasawara", role = c("aut", "ths", "cre"), 
               email = "eogasawara@ieee.org", comment = c(ORCID = "0000-0002-0466-0626")),
    person(given = "CEFET/RJ", role = "cph")
  )
Description: In streaming data analysis, it is crucial to detect
        significant shifts in the data distribution or the accuracy of
        predictive models over time, a phenomenon known as concept
        drift. The package aims to identify when concept drift occurs
        and provide methodologies for adapting models in non-stationary
        environments. It offers a range of state-of-the-art techniques
        for detecting concept drift and maintaining model performance.
        Additionally, the package provides tools for adapting models in
        response to these changes, ensuring continuous and accurate
        predictions in dynamic contexts. Methods for concept drift
        detection are described in Tavares (2022)
        <doi:10.1007/s12530-021-09415-z>.
License: MIT + file LICENSE
URL: https://cefet-rj-dal.github.io/heimdall/,
        https://github.com/cefet-rj-dal/heimdall
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: stats, caret, daltoolbox, ggplot2, Metrics, reticulate, pROC,
        car
Config/reticulate: list( packages = list( list(package = "scipy"),
        list(package = "torch"), list(package = "pandas"), list(package
        = "numpy"), list(package = "matplotlib"), list(package =
        "scikit-learn") ) )
Config/pak/sysreqs: cmake make libicu-dev libpng-dev python3
Repository: https://cefet-rj-dal.r-universe.dev
Date/Publication: 2026-03-12 19:54:05 UTC
RemoteUrl: https://github.com/cefet-rj-dal/heimdall
RemoteRef: HEAD
RemoteSha: b7f0b81d3449f13bdf29f59c3b59154c88e6b4a0
NeedsCompilation: no
Packaged: 2026-06-12 09:25:13 UTC; root
Author: Lucas Tavares [aut],
  Leonardo Carvalho [aut],
  Rodrigo Machado [aut],
  Diego Carvalho [ctb],
  Esther Pacitti [ctb],
  Fabio Porto [ctb],
  Eduardo Ogasawara [aut, ths, cre] (ORCID:
    <https://orcid.org/0000-0002-0466-0626>),
  CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>