High-Performance Open-Source Archive
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.
| Version: | 1.3 |
| Depends: | R (≥ 2.14), splines |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2026-03-13 |
| DOI: | 10.32614/CRAN.package.SAM |
| Author: | Haoming Jiang [aut], Yukun Ma [aut], Han Liu [aut], Kathryn Roeder [aut], Xingguo Li [aut], Tuo Zhao [aut, cre] |
| Maintainer: | Tuo Zhao <tourzhao at gatech.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | SAM results |
| Reference manual: | SAM.html , SAM.pdf |
| Package source: | SAM_1.3.tar.gz |
| Windows binaries: | r-devel: SAM_1.3.zip, r-release: SAM_1.3.zip, r-oldrel: SAM_1.3.zip |
| macOS binaries: | r-release (arm64): SAM_1.3.tgz, r-oldrel (arm64): SAM_1.3.tgz, r-release (x86_64): SAM_1.3.tgz, r-oldrel (x86_64): SAM_1.3.tgz |
| Old sources: | SAM archive |
| Reverse imports: | DLL, GSelection, pgraph, varEst |
Please use the canonical form https://CRAN.R-project.org/package=SAM to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.