Package: CPoptim 0.1.0

CPoptim: Convex Partition Optimisation

Convex Partition is a black-box optimisation algorithm for single objective real-parameters functions. The basic principle is to progressively estimate and exploit a regression tree similar to a CART (Classification and Regression Tree) of the objective function. For more details see 'de Paz' (2024) <doi:10.1007/978-3-031-62836-8_3> and 'Loh' (2011) <doi:10.1002/widm.8> .

Authors:Erick G.G. de Paz [aut, cre], Humberto Vaquera Huerta [aut], Francisco Javier Albores Velasco [aut], John R. Bauer Mengelberg [aut], Juan Manuel Romero Padilla [aut]

CPoptim_0.1.0.tar.gz
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CPoptim.pdf |CPoptim.html✨
CPoptim/json (API)

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

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On CRAN:

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

1.00 score 1 scripts 318 downloads 1 exports 0 dependencies

Last updated 4 months agofrom:92b8fa6d20. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-win-x86_64OKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024
R-4.4-win-x86_64OKNov 10 2024
R-4.4-mac-x86_64OKNov 10 2024
R-4.4-mac-aarch64OKNov 10 2024
R-4.3-win-x86_64OKNov 10 2024
R-4.3-mac-x86_64OKNov 10 2024
R-4.3-mac-aarch64OKNov 10 2024

Exports:CPoptim

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