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ADMM

We provide implementation for a class of problems that use alternating direction method of multipliers (ADMM)-type algorithms.

Installation

You can install the released version of ADMM from CRAN with:

install.packages("ADMM")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("kyoustat/ADMM")

Available Functions

Currently, we support following classes of problems and functions. For more details, please see help pages of each function using help() function in your R session.

FunctionDescription
admm.bpBasis Pursuit
admm.enetElastic Net Regularization
admm.genlassoGeneralized LASSO
admm.ladLeast Absolute Deviations
admm.lassoLeast Absolute Shrinkage and Selection Operator
admm.rpcaRobust Principal Component Analysis
admm.sdpSemidefinite Programming
admm.spcaSparse Principal Component Analysis
admm.tvTotal Variation Minimization

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Version

Install

install.packages('ADMM')

Monthly Downloads

576

Version

0.3.3

License

GPL (>= 3)

Maintainer

Kisung You

Last Published

August 8th, 2021

Functions in ADMM (0.3.3)

admm.genlasso

Generalized LASSO
admm.spca

Sparse PCA
admm.lad

Least Absolute Deviations
admm.rpca

Robust Principal Component Analysis
ADMM

ADMM : Algorithms using Alternating Direction Method of Multipliers
admm.tv

Total Variation Minimization
admm.lasso

Least Absolute Shrinkage and Selection Operator
admm.enet

Elastic Net Regularization
admm.sdp

Semidefinite Programming
admm.bp

Basis Pursuit