Package: SAM
Type: Package
Title: Sparse Additive Modelling
Version: 1.3
Authors@R: c(
    person(given = "Haoming",
           family = "Jiang",
           role = "aut",
           email = "jianghm.ustc@gmail.com"),
    person(given = "Yukun",
           family = "Ma",
           role = "aut"),
    person(given = "Han",
           family = "Liu",
           role = "aut"),
    person(given = "Kathryn",
           family = "Roeder",
           role = "aut"),
    person(given = "Xingguo",
           family = "Li",
           role = "aut"),
    person(given = "Tuo",
           family = "Zhao",
           role = c("aut", "cre"),
           email = "tourzhao@gatech.edu"))
Maintainer: Tuo Zhao <tourzhao@gatech.edu>
Depends: R (>= 2.14), splines
Description: 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.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppEigen
Packaged: 2026-03-13 08:27:48 UTC; tourzhao
Author: Haoming Jiang [aut],
  Yukun Ma [aut],
  Han Liu [aut],
  Kathryn Roeder [aut],
  Xingguo Li [aut],
  Tuo Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-13 08:50:02 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-03-13 13:18:29 UTC; unix
Archs: SAM.so.dSYM
