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cff-version: 1.2.0
message: 'To cite package "ppRank" in publications use:'
type: software
license: GPL-3.0-only
title: 'ppRank: Classification of Algorithms'
version: 0.1.1
doi: 10.32614/CRAN.package.ppRank
abstract: Implements the Bi-objective Lexicographical Classification method and Performance
  Assessment Ratio at 10% metric for algorithm classification. Constructs matrices
  representing algorithm performance under multiple criteria, facilitating decision-making
  in algorithm selection and evaluation. Analyzes and compares algorithm performance
  based on various metrics to identify the most suitable algorithms for specific tasks.
  This package includes methods for algorithm classification and evaluation, with
  examples provided in the documentation. Carvalho (2019) presents a statistical evaluation
  of algorithmic computational experimentation with infeasible solutions <https://doi.org/10.48550/arXiv.1902.00101>.
  Moreira and Carvalho (2023) analyze power in preprocessing methodologies for datasets
  with missing values <https://doi.org/10.1080/03610918.2023.2234683>.
authors:
- name: Tiago Costa Soares
  email: tiagocsoares22@gmail.com
- name: Iago Augusto de Carvalho
  email: iago.carvalho@unifal-mg.edu.br
repository: https://CRAN.R-project.org/package=ppRank
date-released: '2024-10-01'
contact:
- name: Iago Augusto de Carvalho
  email: iago.carvalho@unifal-mg.edu.br