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)ADMM_0.3.4.zip(r-4.6)ADMM_0.3.4.zip(r-4.5)
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 685 downloads 20 mentions 9 exports 10 dependencies

Last updated from:bfcfaa4480. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK171
linux-devel-x86_64OK141
source / vignettesOK203
linux-release-arm64OK151
linux-release-x86_64OK142
macos-release-arm64OK149
macos-release-x86_64OK263
macos-oldrel-arm64OK91
macos-oldrel-x86_64OK247
windows-develOK145
windows-releaseOK131
windows-oldrelOK116
wasm-releaseOK157

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack