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:

9 exports 6 stars 3.94 score 10 dependencies 8 dependents 20 mentions 15 scripts 668 downloads

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

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-win-x86_64NOTESep 05 2024
R-4.5-linux-x86_64NOTESep 05 2024
R-4.4-win-x86_64NOTESep 05 2024
R-4.4-mac-x86_64NOTESep 05 2024
R-4.4-mac-aarch64NOTESep 05 2024
R-4.3-win-x86_64NOTESep 05 2024
R-4.3-mac-x86_64NOTESep 05 2024
R-4.3-mac-aarch64NOTESep 05 2024

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

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixrbibutilsRcppRcppArmadilloRdpack