Package: fasta
Type: Package
Title: Fast Adaptive Shrinkage/Thresholding Algorithm
Version: 0.1.0
Authors@R: c(
    person(given=c("Eric","C."), family="Chi", email="ecchi1105@gmail.com", role=c("aut","cre","trl","cph")),
    person(given="Tom", family="Goldstein", email="tomg@cs.umd.edu", role="aut", comment = "MATLAB original, https://www.cs.umd.edu/~tomg/projects/fasta/"),
    person(given="Christoph", family="Studer", email="studer@cornell.edu", role="aut"),
    person(given=c("Richard", "G."), family="Baraniuk", email="richb@rice.edu", role="aut")
    )
Description: A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in
    Goldstein, Studer, and Baraniuk (2016) <arXiv:1411.3406>. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) <doi:10.1137/080716542> 
    and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) <doi:10.1109/TSP.2009.2016892> are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 14:51:47 UTC; ecchi
Author: Eric C. Chi [aut, cre, trl, cph],
  Tom Goldstein [aut] (MATLAB original,
    https://www.cs.umd.edu/~tomg/projects/fasta/),
  Christoph Studer [aut],
  Richard G. Baraniuk [aut]
Maintainer: Eric C. Chi <ecchi1105@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-10 10:01:37 UTC
Built: R 4.6.0; ; 2026-04-26 17:48:51 UTC; unix
