Installing | sparsegl() | Plotting sparsegl objects | cv.sparsegl() | Methods | estimate_risk() | References
Package: sparsegl 1.1.1.9002
sparsegl: Sparse Group Lasso
Efficient implementation of sparse group lasso with optional bound constraints on the coefficients; see Liang, et al., (2024) <doi:10.18637/jss.v110.i06>. It supports the use of a sparse design matrix as well as returning coefficient estimates in a sparse matrix. Furthermore, it correctly calculates the degrees of freedom to allow for information criteria rather than cross-validation with very large data. Finally, the interface to compiled code avoids unnecessary copies and allows for the use of long integers.
Authors:
sparsegl_1.1.1.9002.tar.gz
sparsegl_1.1.1.9002.zip(r-4.7)sparsegl_1.1.1.9002.zip(r-4.6)sparsegl_1.1.1.9002.zip(r-4.5)
sparsegl_1.1.1.9002.tgz(r-4.6-x86_64)sparsegl_1.1.1.9002.tgz(r-4.6-arm64)sparsegl_1.1.1.9002.tgz(r-4.5-x86_64)sparsegl_1.1.1.9002.tgz(r-4.5-arm64)
sparsegl_1.1.1.9002.tar.gz(r-4.7-arm64)sparsegl_1.1.1.9002.tar.gz(r-4.7-x86_64)sparsegl_1.1.1.9002.tar.gz(r-4.6-arm64)sparsegl_1.1.1.9002.tar.gz(r-4.6-x86_64)
sparsegl_1.1.1.9002.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sparsegl/json (API)
| # Install 'sparsegl' in R: |
| install.packages('sparsegl', repos = c('https://dajmcdon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dajmcdon/sparsegl/issues
Pkgdown/docs site:https://dajmcdon.github.io
Datasets:
- trust_experts - Trust in scientific experts during the Covid-19 pandemic
Last updated from:3e7c6ebb84. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 217 | ||
| linux-devel-x86_64 | OK | 210 | ||
| source / vignettes | OK | 210 | ||
| linux-release-arm64 | OK | 201 | ||
| linux-release-x86_64 | OK | 194 | ||
| macos-release-arm64 | OK | 169 | ||
| macos-release-x86_64 | OK | 430 | ||
| macos-oldrel-arm64 | OK | 236 | ||
| macos-oldrel-x86_64 | OK | 993 | ||
| windows-devel | OK | 191 | ||
| windows-release | OK | 176 | ||
| windows-oldrel | OK | 170 | ||
| wasm-release | OK | 118 |
Exports:cv.sparseglestimate_riskgr_one_normgr_two_normgrouped_one_normgrouped_sp_normgrouped_two_normgrouped_zero_normmake_irls_warmupone_normsp_group_normsparsegltwo_normzero_norm
Dependencies:clicpp11dotCall64farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppEigenrlangRSpectraS7scalessurvivalvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract coefficients from a 'cv.sparsegl' object. | coef.cv.sparsegl |
| Extract model coefficients from a 'sparsegl' object. | coef.sparsegl |
| Cross-validation for a 'sparsegl' object. | cv.sparsegl |
| Calculate information criteria. | estimate_risk |
| Create starting values for iterative reweighted least squares | make_irls_warmup |
| Plot cross-validation curves produced from a 'cv.sparsegl' object. | plot.cv.sparsegl |
| Plot solution paths from a 'sparsegl' object. | plot.sparsegl |
| Make predictions from a 'cv.sparsegl' object. | predict.cv.sparsegl |
| Make predictions from a 'sparsegl' object. | predict.sparsegl |
| Regularization paths for sparse group-lasso models | sparsegl |
| Trust in scientific experts during the Covid-19 pandemic | trust_experts |
| Calculate common norms | grouped_one_norm grouped_sp_norm grouped_two_norm grouped_zero_norm gr_one_norm gr_two_norm one_norm sp_group_norm two_norm zero_norm |
