Package: ADMM 0.3.3

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_0.3.3.tar.gz
ADMM_0.3.3.zip(r-4.5)ADMM_0.3.3.zip(r-4.4)ADMM_0.3.3.zip(r-4.3)
ADMM_0.3.3.tgz(r-4.4-x86_64)ADMM_0.3.3.tgz(r-4.4-arm64)ADMM_0.3.3.tgz(r-4.3-x86_64)ADMM_0.3.3.tgz(r-4.3-arm64)
ADMM_0.3.3.tar.gz(r-4.5-noble)ADMM_0.3.3.tar.gz(r-4.4-noble)
ADMM_0.3.3.tgz(r-4.4-emscripten)ADMM_0.3.3.tgz(r-4.3-emscripten)
ADMM.pdf |ADMM.html✨
ADMM/json (API)
NEWS

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

Peer review:

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:

6.08 score 6 stars 9 packages 15 scripts 541 downloads 20 mentions 9 exports 10 dependencies

Last updated 3 years agofrom:74dedd6d6a. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64NOTENov 04 2024
R-4.5-linux-x86_64NOTENov 04 2024
R-4.4-win-x86_64NOTENov 04 2024
R-4.4-mac-x86_64NOTENov 04 2024
R-4.4-mac-aarch64NOTENov 04 2024
R-4.3-win-x86_64NOTENov 04 2024
R-4.3-mac-x86_64NOTENov 04 2024
R-4.3-mac-aarch64NOTENov 04 2024

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack