Package: SAM 1.1.3
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_1.1.3.tar.gz
SAM_1.1.3.zip(r-4.7-x86_64)SAM_1.1.3.zip(r-4.7-arm64)SAM_1.1.3.zip(r-4.6-x86_64)SAM_1.1.3.zip(r-4.6-arm64)SAM_1.1.3.zip(r-4.5-x86_64)
SAM_1.1.3.tgz(r-4.6-x86_64)SAM_1.1.3.tgz(r-4.6-arm64)SAM_1.1.3.tgz(r-4.5-x86_64)SAM_1.1.3.tgz(r-4.5-arm64)
SAM_1.1.3.tar.gz(r-4.7-arm64)SAM_1.1.3.tar.gz(r-4.7-x86_64)SAM_1.1.3.tar.gz(r-4.6-arm64)SAM_1.1.3.tar.gz(r-4.6-x86_64)
SAM_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SAM/json (API)
| # Install 'SAM' in R: |
| install.packages('SAM', repos = c('https://hmjianggatech.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hmjianggatech/sam/issues
Last updated from:9a0403b742. Checks:13 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 96 | ||
| linux-devel-x86_64 | NOTE | 153 | ||
| source / vignettes | OK | 174 | ||
| linux-release-arm64 | NOTE | 101 | ||
| linux-release-x86_64 | NOTE | 116 | ||
| macos-release-arm64 | NOTE | 253 | ||
| macos-release-x86_64 | NOTE | 266 | ||
| macos-oldrel-arm64 | NOTE | 212 | ||
| macos-oldrel-x86_64 | NOTE | 228 | ||
| windows-devel-arm64 | NOTE | 347 | ||
| windows-devel-x86_64 | NOTE | 163 | ||
| windows-release-arm64 | NOTE | 342 | ||
| windows-release-x86_64 | NOTE | 125 | ||
| windows-oldrel-x86_64 | NOTE | 110 | ||
| wasm-release | OK | 106 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sparse Additive Modelling | SAM-package SAM |
| Plot function for S3 class '"samEL"' | plot.samEL |
| Plot function for S3 class '"samHL"' | plot.samHL |
| Plot function for S3 class '"samLL"' | plot.samLL |
| Plot function for S3 class '"samQL"' | plot.samQL |
| Prediction function for S3 class '"samEL"' | predict.samEL |
| Prediction function for S3 class '"samHL"' | predict.samHL |
| Prediction function for S3 class '"samLL"' | predict.samLL |
| Prediction function for S3 class '"samQL"' | predict.samQL |
| Printing function for S3 class '"samEL"' | print.samEL |
| Printing function for S3 class '"samHL"' | print.samHL |
| Printing function for S3 class '"samLL"' | print.samLL |
| Printing function for S3 class '"samQL"' | print.samQL |
| Training function of Sparse Additive Possion Regression | samEL |
| Training function of Sparse Additive Machine | samHL |
| Training function of Sparse Additive Logistic Regression | samLL |
| Training function of Sparse Additive Models | samQL |