# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "heimdall" in publications use:' type: software license: MIT title: 'heimdall: Drift Adaptable Models' version: 1.0.717 doi: 10.32614/CRAN.package.heimdall abstract: By analyzing streaming datasets, it is possible to observe significant changes in the data distribution or models' accuracy during their prediction (concept drift). The goal of 'heimdall' is to measure when concept drift occurs. The package makes available several state-of-the-art methods. It also tackles how to adapt models in a nonstationary context. Some concept drifts methods are described in Tavares (2022) . authors: - family-names: Tavares given-names: Lucas email: lucas.giusti@eic.cefet-rj.br - family-names: Carvalho given-names: Leonardo email: lm.carvalho@petrobras.com.br - family-names: Carvalho given-names: Diego email: d.carvalho@ieee.org - family-names: Pacitti given-names: Esther email: Esther.Pacitti@lirmm.fr - family-names: Porto given-names: Fabio email: fporto@lncc.br - family-names: Ogasawara given-names: Eduardo email: eogasawara@ieee.org orcid: https://orcid.org/0000-0002-0466-0626 repository: https://CRAN.R-project.org/package=heimdall repository-code: https://github.com/cefet-rj-dal/heimdall url: https://cefet-rj-dal.github.io/heimdall/ date-released: '2024-06-30' contact: - family-names: Ogasawara given-names: Eduardo email: eogasawara@ieee.org orcid: https://orcid.org/0000-0002-0466-0626