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
CPoptim_0.1.0.zip(r-4.7-x86_64)CPoptim_0.1.0.zip(r-4.7-arm64)CPoptim_0.1.0.zip(r-4.6-x86_64)CPoptim_0.1.0.zip(r-4.6-arm64)CPoptim_0.1.0.zip(r-4.5-x86_64)
CPoptim_0.1.0.tgz(r-4.6-x86_64)CPoptim_0.1.0.tgz(r-4.6-arm64)CPoptim_0.1.0.tgz(r-4.5-x86_64)CPoptim_0.1.0.tgz(r-4.5-arm64)
CPoptim_0.1.0.tar.gz(r-4.7-arm64)CPoptim_0.1.0.tar.gz(r-4.7-x86_64)CPoptim_0.1.0.tar.gz(r-4.6-arm64)CPoptim_0.1.0.tar.gz(r-4.6-x86_64)
CPoptim_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CPoptim/json (API)

# Install 'CPoptim' in R:
install.packages('CPoptim', repos = c('https://colposerickg.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 2 scripts 299 downloads 1 exports 0 dependencies

Last updated from:92b8fa6d20. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK71
linux-devel-x86_64OK83
source / vignettesOK123
linux-release-arm64OK71
linux-release-x86_64OK80
macos-release-arm64OK159
macos-release-x86_64OK286
macos-oldrel-arm64OK72
macos-oldrel-x86_64OK250
windows-devel-arm64OK299
windows-devel-x86_64OK113
windows-release-arm64OK320
windows-release-x86_64OK53
windows-oldrel-x86_64OK55
wasm-releaseOK87

Exports:CPoptim

Dependencies: