knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
We provide implementation for a class of problems that use alternating direction method of multipliers (ADMM)-type algorithms.
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")
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.
| Function | Description |
| :---------: | :--------------- |
| admm.bp
| Basis Pursuit |
| admm.enet
| Elastic Net Regularization |
| admm.genlasso
| Generalized LASSO |
| admm.lad
| Least Absolute Deviations |
| admm.lasso
| Least Absolute Shrinkage and Selection Operator |
| admm.rpca
| Robust Principal Component Analysis |
| admm.sdp
| Semidefinite Programming |
| admm.spca
| Sparse Principal Component Analysis |
| admm.tv
| Total Variation Minimization |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.