vennLasso Intro | Model Setup | Borrowing Strength Across Subpopulations via Hierarchical Importance | Loss Function for Hierarchical Selection | Installation | An Example with Simulated Data | Cross Validation for Tuning Parameter Selection | Confidence Intervals Using the Adaptive Lasso | References
Package: vennLasso 0.1.6
Jared Huling
vennLasso: Variable Selection for Heterogeneous Populations
Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.
Authors:
vennLasso_0.1.6.tar.gz
vennLasso_0.1.6.zip(r-4.7-x86_64)vennLasso_0.1.6.zip(r-4.7-arm64)vennLasso_0.1.6.zip(r-4.6-x86_64)vennLasso_0.1.6.zip(r-4.6-arm64)
vennLasso_0.1.6.tar.gz(r-4.7-arm64)vennLasso_0.1.6.tar.gz(r-4.7-x86_64)vennLasso_0.1.6.tar.gz(r-4.6-arm64)vennLasso_0.1.6.tar.gz(r-4.6-x86_64)
vennLasso_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vennLasso/json (API)
| # Install 'vennLasso' in R: |
| install.packages('vennLasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jaredhuling/vennlasso/issues
Last updated from:cfc4a114a4. Checks:8 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 147 | ||
| linux-devel-x86_64 | WARNING | 175 | ||
| source / vignettes | OK | 230 | ||
| linux-release-arm64 | WARNING | 141 | ||
| linux-release-x86_64 | WARNING | 180 | ||
| windows-devel-arm64 | WARNING | 228 | ||
| windows-devel-x86_64 | WARNING | 309 | ||
| windows-release-arm64 | WARNING | 233 | ||
| windows-release-x86_64 | WARNING | 250 | ||
| wasm-release | OK | 123 |
Exports:cv.vennLassoestimate.hier.sparsity.paramgenHierSparseBetagenHierSparseDataoglassoplotCoefsplotSelectionsplotVennvennLasso
Dependencies:base64encbslibcachemclicodetoolscpp11digestevaluatefastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgluehighrhtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlambda.rlatticelifecyclemagrittrMASSMatrixmemoisemimepkgconfigR6rappdirsRcppRcppEigenRcppNumericalrlangrmarkdownsasssurvivaltinytexvctrsVennDiagramvisNetworkxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross Validation for the vennLasso | cv.vennLasso |
| function to estimate the hierarchical sparsity parameter for a desired level of sparsity for simulated hierarchical coefficients | estimate.hier.sparsity.param |
| function to generate coefficient matrix with hierarchical sparsity | genHierSparseBeta |
| function to generate data with hierarchical sparsity | genHierSparseData |
| log likelihood function for fitted vennLasso objects | logLik.vennLasso |
| Overlapping Group Lasso (OGLasso) | oglasso |
| Plot method for cv.vennLasso fitted objects | plot.cv.vennLasso plot.vennLasso |
| plotting function to investigate estimated coefficients | plotCoefs |
| plotting function to investigate hierarchical structure of selection | plotSelections |
| plotting function for venn diagrams of overlapping conditions | plotVenn |
| Prediction for Cross Validation Hierarchical Lasso Object | predict.cv.vennLasso |
| Prediction for Hierarchical Shared Lasso | predict.vennLasso |
| Fitting vennLasso models | vennLasso |