Package: ISS 1.0.0
ISS: Isotonic Subgroup Selection
Methodology for subgroup selection in the context of isotonic regression including methods for sub-Gaussian errors, classification, homoscedastic Gaussian errors and quantile regression. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <arxiv:2305.04852v2>.
Authors:
ISS_1.0.0.tar.gz
ISS_1.0.0.zip(r-4.7)ISS_1.0.0.zip(r-4.6)ISS_1.0.0.zip(r-4.5)
ISS_1.0.0.tgz(r-4.6-any)ISS_1.0.0.tgz(r-4.5-any)
ISS_1.0.0.tar.gz(r-4.7-any)ISS_1.0.0.tar.gz(r-4.6-any)
ISS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ISS/json (API)
| # Install 'ISS' in R: |
| install.packages('ISS', repos = c('https://manuelmmueller.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 from:b8969c0589. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 164 | ||
| macos-oldrel-arm64 | OK | 168 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 105 |
Exports:dag_test_FSdag_test_Holmdag_test_ISSdag_test_MGget_boundary_pointsget_DAGget_p_classificationget_p_Gaussianget_p_subGaussianget_p_subGaussian_NMget_p_valueISS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| dag_test_FS | dag_test_FS |
| dag_test_Holm | dag_test_Holm |
| dag_test_ISS | dag_test_ISS |
| dag_test_MG | dag_test_MG |
| get_boundary_points | get_boundary_points |
| get_DAG | get_DAG |
| get_p_classification | get_p_classification |
| get_p_Gaussian | get_p_Gaussian |
| get_p_subGaussian | get_p_subGaussian |
| get_p_subGaussian_NM | get_p_subGaussian_NM |
| get_p_value | get_p_value |
| ISS | ISS |
