Package: BiObjClass 0.1.0

BiObjClass: Classification of Algorithms

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 <doi:10.48550/arXiv.1902.00101>. Moreira and Carvalho (2023) analyze power in preprocessing methodologies for datasets with missing values <doi:10.1080/03610918.2023.2234683>.

Authors:Tiago Costa Soares [aut, cre], Pedro Augusto Mendes [aut]

BiObjClass_0.1.0.tar.gz
BiObjClass_0.1.0.zip(r-4.7)BiObjClass_0.1.0.zip(r-4.6)BiObjClass_0.1.0.zip(r-4.5)
BiObjClass_0.1.0.tgz(r-4.6-any)BiObjClass_0.1.0.tgz(r-4.5-any)
BiObjClass_0.1.0.tar.gz(r-4.7-any)BiObjClass_0.1.0.tar.gz(r-4.6-any)
BiObjClass_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BiObjClass/json (API)

# Install 'BiObjClass' in R:
install.packages('BiObjClass', repos = c('https://tiagocsoares.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 163 downloads 2 exports 0 dependencies

Last updated from:d995b07108. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK93
source / vignettesOK132
linux-release-x86_64OK115
macos-release-arm64OK156
macos-oldrel-arm64OK222
windows-develOK59
windows-releaseOK53
windows-oldrelOK63
wasm-releaseOK80

Exports:bilexpar10

Dependencies: