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✨
card.svg |card.png
ADMM/json (API)
NEWS

# 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 665 downloads 20 mentions 9 exports 10 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK153
linux-devel-x86_64OK142
source / vignettesOK197
linux-release-arm64OK140
linux-release-x86_64OK139
macos-release-arm64OK109
macos-release-x86_64OK221
macos-oldrel-arm64OK147
macos-oldrel-x86_64OK396
windows-develOK265
windows-releaseOK177
windows-oldrelOK133
wasm-releaseOK143

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack