bcs: Bayesian Compressive Sensing Using Laplace Priors

A Bayesian method for solving the compressive sensing problem. In particular, this package implements the algorithm 'Fast Laplace' found in the paper 'Bayesian Compressive Sensing Using Laplace Priors' by Babacan, Molina, Katsaggelos (2010) <doi:10.1109/TIP.2009.2032894>.

Version: 1.0.0
Imports: fda (≥ 2.4.4), stats (≥ 3.3.2), Rcpp (≥ 0.12.5), wmtsa (≥ 2.0-1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2017-04-04
Author: Matt Goodwin [aut, cre]
Maintainer: Matt Goodwin <gmatt18 at gmail.com>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: bcs results

Downloads:

Reference manual: bcs.pdf
Package source: bcs_1.0.0.tar.gz
Windows binaries: r-devel: bcs_1.0.0.zip, r-release: bcs_1.0.0.zip, r-oldrel: bcs_1.0.0.zip
OS X El Capitan binaries: r-release: bcs_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: bcs_1.0.0.tgz

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