Package: sgs 0.3.7
sgs: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Authors:
sgs_0.3.7.tar.gz
sgs_0.3.7.zip(r-4.7)sgs_0.3.7.zip(r-4.6)sgs_0.3.7.zip(r-4.5)
sgs_0.3.7.tgz(r-4.6-x86_64)sgs_0.3.7.tgz(r-4.6-arm64)sgs_0.3.7.tgz(r-4.5-x86_64)sgs_0.3.7.tgz(r-4.5-arm64)
sgs_0.3.7.tar.gz(r-4.7-arm64)sgs_0.3.7.tar.gz(r-4.7-x86_64)sgs_0.3.7.tar.gz(r-4.6-arm64)sgs_0.3.7.tar.gz(r-4.6-x86_64)
sgs_0.3.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sgs/json (API)
| # Install 'sgs' in R: |
| install.packages('sgs', repos = c('https://ff1201.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ff1201/sgs/issues
Last updated from:405aab0d80. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 252 | ||
| linux-devel-x86_64 | OK | 245 | ||
| source / vignettes | OK | 320 | ||
| linux-release-arm64 | OK | 218 | ||
| linux-release-x86_64 | OK | 287 | ||
| macos-release-arm64 | OK | 227 | ||
| macos-release-x86_64 | OK | 477 | ||
| macos-oldrel-arm64 | OK | 268 | ||
| macos-oldrel-x86_64 | OK | 378 | ||
| windows-devel | OK | 236 | ||
| windows-release | OK | 271 | ||
| windows-oldrel | OK | 226 | ||
| wasm-release | OK | 152 |
Exports:arma_mvarma_sparseas_sgsatosfit_goscarfit_goscar_cvfit_gslopefit_gslope_cvfit_sgofit_sgo_cvfit_sgsfit_sgs_cvgen_pensgen_toy_datascaled_sgs
Dependencies:BHbigmemorybigmemory.sricaretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2RlabrlangrpartS7scalesshapeSLOPEsparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8uuidvctrsviridisLitewithr
