Package: SAM 1.3
Tuo Zhao
SAM: Sparse Additive Modelling
Computationally efficient tools for high dimensional predictive modeling (regression and classification). SAM is short for sparse additive modeling, and adopts the computationally efficient basis spline technique. We solve the optimization problems by various computational algorithms including the block coordinate descent algorithm, fast iterative soft-thresholding algorithm, and newton method. The computation is further accelerated by warm-start and active-set tricks.
Authors:
SAM_1.3.tar.gz
SAM_1.3.zip(r-4.7-x86_64)SAM_1.3.zip(r-4.7-arm64)SAM_1.3.zip(r-4.6-x86_64)SAM_1.3.zip(r-4.6-arm64)
SAM_1.3.tar.gz(r-4.7-arm64)SAM_1.3.tar.gz(r-4.7-x86_64)SAM_1.3.tar.gz(r-4.6-arm64)SAM_1.3.tar.gz(r-4.6-x86_64)
SAM_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SAM/json (API)
| # Install 'SAM' in R: |
| install.packages('SAM', repos = c('https://cran.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:b1f28b3220. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 97 | ||
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 344 | ||
| linux-release-arm64 | OK | 99 | ||
| linux-release-x86_64 | OK | 164 | ||
| windows-devel-arm64 | OK | 234 | ||
| windows-devel-x86_64 | OK | 160 | ||
| windows-release-arm64 | OK | 254 | ||
| windows-release-x86_64 | OK | 156 | ||
| wasm-release | OK | 218 |
