Package: minqa 1.2.8

Katharine M. Mullen

minqa: Derivative-Free Optimization Algorithms by Quadratic Approximation

Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.

Authors:Douglas Bates [aut], Katharine M. Mullen [aut, cre], John C. Nash [aut], Ravi Varadhan [aut]

minqa_1.2.8.tar.gz
minqa_1.2.8.zip(r-4.7-x86_64)minqa_1.2.8.zip(r-4.7-arm64)minqa_1.2.8.zip(r-4.6-x86_64)minqa_1.2.8.zip(r-4.6-arm64)minqa_1.2.8.zip(r-4.5-x86_64)
minqa_1.2.8.tgz(r-4.6-x86_64)minqa_1.2.8.tgz(r-4.6-arm64)minqa_1.2.8.tgz(r-4.5-x86_64)minqa_1.2.8.tgz(r-4.5-arm64)
minqa_1.2.8.tar.gz(r-4.7-arm64)minqa_1.2.8.tar.gz(r-4.7-x86_64)minqa_1.2.8.tar.gz(r-4.6-arm64)minqa_1.2.8.tar.gz(r-4.6-x86_64)
minqa_1.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
minqa/json (API)

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

Bug tracker:https://r-forge.r-project.org/projects/optimizer

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

11.51 score 1 stars 2.0k packages 409 scripts 410k downloads 4 mentions 3 exports 1 dependencies

Last updated from:67f18d75bb. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK138
source / vignettesOK162
linux-release-arm64OK101
linux-release-x86_64OK100
macos-release-arm64OK104
macos-release-x86_64OK197
macos-oldrel-arm64OK91
macos-oldrel-x86_64OK278
windows-devel-arm64OK235
windows-devel-x86_64OK145
windows-release-arm64WARNING197
windows-release-x86_64OK88
windows-oldrel-x86_64OK96
wasm-releaseOK98

Exports:bobyqanewuoauobyqa

Dependencies:Rcpp