Package: scout 1.0.4
scout: Implements the Scout Method for Covariance-Regularized Regression
Implements the Scout method for regression, described in "Covariance-regularized regression and classification for high-dimensional problems", by Witten and Tibshirani (2008), Journal of the Royal Statistical Society, Series B 71(3): 615-636.
Authors:
scout_1.0.4.tar.gz
scout_1.0.4.zip(r-4.7-x86_64)scout_1.0.4.zip(r-4.7-arm64)scout_1.0.4.zip(r-4.6-x86_64)scout_1.0.4.zip(r-4.6-arm64)scout_1.0.4.zip(r-4.5-x86_64)
scout_1.0.4.tgz(r-4.6-x86_64)scout_1.0.4.tgz(r-4.6-arm64)scout_1.0.4.tgz(r-4.5-x86_64)scout_1.0.4.tgz(r-4.5-arm64)
scout_1.0.4.tar.gz(r-4.7-arm64)scout_1.0.4.tar.gz(r-4.7-x86_64)scout_1.0.4.tar.gz(r-4.6-arm64)scout_1.0.4.tar.gz(r-4.6-x86_64)
scout_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
scout/json (API)
| # Install 'scout' in R: |
| install.packages('scout', repos = c('https://danielawitten.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:f4bc2ffc7e. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 76 | ||
| linux-devel-x86_64 | OK | 88 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 76 | ||
| linux-release-x86_64 | OK | 85 | ||
| macos-release-arm64 | OK | 81 | ||
| macos-release-x86_64 | OK | 168 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| macos-oldrel-x86_64 | OK | 213 | ||
| windows-devel-arm64 | OK | 289 | ||
| windows-devel-x86_64 | OK | 107 | ||
| windows-release-arm64 | WARNING | 289 | ||
| windows-release-x86_64 | OK | 67 | ||
| windows-oldrel-x86_64 | OK | 59 | ||
| wasm-release | OK | 72 |
Exports:crossProdLassocv.scoutscout
Dependencies:glasso
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Implements covariance-regularized regression, aka the Scout Method. | scout-package |
| Performs the lasso on the cross product matrices X'X and X'y | crossProdLasso |
| Perform cross-validation for covariance-regularized regression, aka the Scout. | cv.scout |
| Prediction function for covariance-regularized regression, aka the Scout. | predict.scoutobject |
| Print function for scout | print.cvobject |
| Print function for scout | print.scoutobject |
| Covariance-regularized regression, aka the Scout. | scout |