Introduction | Installation | Methodology | Theoretical Background | Main Results | Sequential 2-Means (S2M) Variable Selection | Algorithm | Example | Applying Sequential2Means | Identifying Significant Variables | Detailed Function Descriptions | Sequential2Means | OptimalHbi | S2MVarSelection | Sequential2MeansBeta | Simulation example | References
Package: VsusP 1.0.0
VsusP: Variable Selection using Shrinkage Priors
Bayesian variable selection using shrinkage priors to identify significant variables in high-dimensional datasets. The package includes methods for determining the number of significant variables through innovative clustering techniques of posterior distributions, specifically utilizing the 2-Means and Sequential 2-Means (S2M) approaches. The package aims to simplify the variable selection process with minimal tuning required in statistical analysis.
Authors:
VsusP_1.0.0.tar.gz
VsusP_1.0.0.zip(r-4.7-any)VsusP_1.0.0.zip(r-4.6-any)VsusP_1.0.0.zip(r-4.5-any)
VsusP_1.0.0.tgz(r-4.6-any)VsusP_1.0.0.tgz(r-4.5-any)
VsusP_1.0.0.tar.gz(r-4.7-any)VsusP_1.0.0.tar.gz(r-4.6-any)
VsusP_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
VsusP/json (API)
| # Install 'VsusP' in R: |
| install.packages('VsusP', repos = c('https://nilson01.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nilson01/vsusp-variable-selection-using-shrinkage-priors/issues
Last updated from:cf6f1c5246. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 139 | ||
| source / vignettes | OK | 168 | ||
| linux-release | NOTE | 130 | ||
| macos-release | NOTE | 134 | ||
| macos-oldrel | NOTE | 82 | ||
| windows-devel | NOTE | 107 | ||
| windows-release | NOTE | 107 | ||
| windows-oldrel | NOTE | 104 | ||
| wasm-release | OK | 86 |
Exports:OptimalHbiS2MVarSelectionS2MVarSelectionV1Sequential2MeansSequential2MeansBeta
Dependencies:bayesregcodetoolsdoParallelforeachiteratorspgdrawRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Variable selection using shrinkage priors :: numNoiseCoeff | numNoiseCoeff |
| Variable selection using shrinkage priors :: OptimalHbi | OptimalHbi |
| Variable selection using shrinkage priors :: S2MVarSelection | S2MVarSelection |
| Variable selection using shrinkage priors :: S2MVarSelectionV1 | S2MVarSelectionV1 |
| Variable selection using shrinkage priors :: Sequential2Means | Sequential2Means |
| Variable selection using shrinkage prior :: Sequential2MeansBeta | Sequential2MeansBeta |