Package: HSDiC 0.1
Yaguang Li
HSDiC: Homogeneity and Sparsity Detection Incorporating Prior Constraint Information
We explore sparsity and homogeneity of regression coefficients incorporating prior constraint information. A general pairwise fusion approach is proposed to deal with the sparsity and homogeneity detection when combining prior convex constraints. We develop an modified alternating direction method of multipliers algorithm (ADMM) to obtain the estimators.
Authors:
HSDiC_0.1.tar.gz
HSDiC_0.1.tar.gz(r-4.5-noble)HSDiC_0.1.tar.gz(r-4.4-noble)
HSDiC_0.1.tgz(r-4.4-emscripten)HSDiC_0.1.tgz(r-4.3-emscripten)
HSDiC.pdf |HSDiC.html✨
HSDiC/json (API)
| # Install 'HSDiC' in R: |
| install.packages('HSDiC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:a79875fe08. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 01 2024 |
| R-4.5-linux | NOTE | Sep 01 2024 |
Exports:HSDiC_ADMMmBICthresh_est
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixncvregquadprogRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Homogeneity Detection Incorporating Prior Constraint Information by ADMM | HSDiC_ADMM |
| Modified Bayesian Information Criterion | mBIC |
| Threshold estimation | thresh_est |