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-4.6-x86_64)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 615 downloads 20 mentions 9 exports 10 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK134
source / vignettesOK218
linux-release-arm64OK124
linux-release-x86_64OK140
macos-release-arm64OK184
macos-release-x86_64OK167
macos-oldrel-arm64OK86
macos-oldrel-x86_64OK214
windows-devel-x86_64OK127
windows-release-x86_64OK116
windows-oldrel-x86_64OK140
wasm-releaseOK120

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack