Package: ADMM 0.3.4

Kisung You

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

4.61 score 3 stars 9 packages 9 scripts 740 downloads 20 mentions 9 exports 10 dependencies

Last updated from:d712dbf6ce. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK152
source / vignettesOK220
linux-release-arm64OK428
linux-release-x86_64OK136
windows-devel-arm64OK229
windows-devel-x86_64OK134
windows-release-arm64OK195
windows-release-x86_64OK137
wasm-releaseOK111

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack