SAM: Sparse Additive Modelling

The package SAM targets at high dimensional predictive modeling (regression and classification) for complex data analysis. 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: 1.0.5
Depends: R (≥ 2.14), splines
Published: 2014-02-12
Author: Tuo Zhao, Xingguo Li, Han Liu, and Kathryn Roeder
Maintainer: Tuo Zhao <tourzhao at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: SAM results


Reference manual: SAM.pdf
Package source: SAM_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: SAM_1.0.5.tgz, r-oldrel: SAM_1.0.5.tgz
Old sources: SAM archive

Reverse dependencies:

Reverse imports: pgraph


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