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:Haoming Jiang [aut], Yukun Ma [aut], Han Liu [aut], Kathryn Roeder [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]

SAM_1.3.tar.gz
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
card.svg |card.png
SAM/json (API)
NEWS

# Install 'SAM' in R:
install.packages('SAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

4.90 score 4 packages 33 scripts 765 downloads 4.6k mentions 5 exports 2 dependencies

Last updated from:b1f28b3220. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK143
linux-devel-x86_64OK126
source / vignettesOK168
linux-release-arm64OK128
linux-release-x86_64OK131
wasm-releaseOK118

Exports:samsamELsamHLsamLLsamQL

Dependencies:RcppRcppEigen