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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "E2E" in publications use:'
type: software
license: MIT
title: 'E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling'
version: 0.1.3
doi: 10.1002/mdr2.70030
identifiers:
- type: doi
  value: 10.32614/CRAN.package.E2E
abstract: Provides a framework to build and evaluate diagnosis or prognosis models
  using stacking, voting, and bagging ensemble techniques with various base learners.
  The package also includes tools for visualization and interpretation of models.
  The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>.
  The methods are based on the foundational work of Breiman (1996) <https://doi.org/10.1007/BF00058655>
  on bagging and Wolpert (1992) <https://doi.org/10.1016/S0893-6080(05)80023-1> on
  stacking.
authors:
- family-names: Luan
  given-names: Shanjie
  email: Luan20050519@163.com
preferred-citation:
  type: article
  title: 'E2E: An R Package for Easy-to-Build Ensemble Models'
  authors:
  - family-names: Luan
    given-names: S.
  - family-names: Wang
    given-names: X.
  journal: Med Research
  year: '2025'
  doi: 10.1002/mdr2.70030
repository: https://xiaojie0519.r-universe.dev
repository-code: https://github.com/xiaojie0519/E2E
commit: 608bcfd714bba0c623f7f58267a2aa89fb74ea6c
url: https://xiaojie0519.github.io/E2E/
date-released: '2026-03-19'
contact:
- family-names: Luan
  given-names: Shanjie
  email: Luan20050519@163.com