Package: ADMM 0.3.4

ADMM: Algorithms using Alternating Direction Method of Multipliers

Provides algorithms to solve popular optimization problems in statistics such as regression or denoising based on Alternating Direction Method of Multipliers (ADMM). See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.

Authors:Kisung You [aut, cre], Xiaozhi Zhu [aut]

ADMM_0.3.4.tar.gz
ADMM_0.3.4.zip(r-4.7-x86_64)ADMM_0.3.4.zip(r-4.7-arm64)ADMM_0.3.4.zip(r-4.6-x86_64)ADMM_0.3.4.zip(r-4.6-arm64)ADMM_0.3.4.zip(r-4.5-x86_64)
ADMM_0.3.4.tgz(r-4.6-x86_64)ADMM_0.3.4.tgz(r-4.6-arm64)ADMM_0.3.4.tgz(r-4.5-x86_64)ADMM_0.3.4.tgz(r-4.5-arm64)
ADMM_0.3.4.tar.gz(r-4.7-arm64)ADMM_0.3.4.tar.gz(r-4.7-x86_64)ADMM_0.3.4.tar.gz(r-4.6-arm64)ADMM_0.3.4.tar.gz(r-4.6-x86_64)
ADMM_0.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ADMM/json (API)

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

Bug tracker:https://github.com/kisungyou/admm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

6.21 score 7 stars 9 packages 17 scripts 938 downloads 20 mentions 9 exports 10 dependencies

Last updated from:bfcfaa4480. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK128
source / vignettesOK217
linux-release-arm64OK124
linux-release-x86_64OK173
macos-release-arm64OK133
macos-release-x86_64OK246
macos-oldrel-arm64OK114
macos-oldrel-x86_64OK238
windows-devel-arm64OK231
windows-devel-x86_64OK171
windows-release-arm64OK216
windows-release-x86_64OK108
windows-oldrel-x86_64OK95
wasm-releaseOK90

Exports:admm.bpadmm.enetadmm.genlassoadmm.ladadmm.lassoadmm.rpcaadmm.sdpadmm.spcaadmm.tv

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack