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.

Version: 1.1.0
Depends: R (≥ 2.14), splines
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen
Published: 2019-02-18
Author: Haoming Jiang, Yukun Ma, Xinyu Fei, Tuo Zhao, Xingguo Li, Han Liu, and Kathryn Roeder
Maintainer: Haoming Jiang <jianghm.ustc at gmail.com>
License: GPL-2
NeedsCompilation: yes
CRAN checks: SAM results

Downloads:

Reference manual: SAM.pdf
Package source: SAM_1.1.0.tar.gz
Windows binaries: r-devel: SAM_1.1.0.zip, r-release: SAM_1.1.0.zip, r-oldrel: SAM_1.1.0.zip
OS X binaries: r-release: SAM_1.1.0.tgz, r-oldrel: SAM_1.1.0.tgz
Old sources: SAM archive

Reverse dependencies:

Reverse imports: pgraph

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