AdaptiveSparsity: Adaptive Sparsity Models

Implements Figueiredo EM algorithm for adaptive sparsity (Jeffreys prior) (see Figueiredo, M.A.T.; , "Adaptive sparseness for supervised learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.25, no.9, pp. 1150- 1159, Sept. 2003) and Wong algorithm for adaptively sparse gaussian geometric models (see Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models." In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 311-319. 2013.)

Version: 1.4
Depends: R (≥ 3.0.2), Rcpp (≥ 0.8.0)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.2.0)
Suggests: MASS, Matrix
Published: 2014-01-03
Author: Kristen Zygmunt, Eleanor Wong, Tom Fletcher
Maintainer: Kristen Zygmunt <krismz at sci.utah.edu>
License: LGPL (≥ 3.0)
NeedsCompilation: yes
CRAN checks: AdaptiveSparsity results

Downloads:

Reference manual: AdaptiveSparsity.pdf
Package source: AdaptiveSparsity_1.4.tar.gz
Windows binaries: r-devel: AdaptiveSparsity_1.4.zip, r-release: AdaptiveSparsity_1.4.zip, r-oldrel: AdaptiveSparsity_1.4.zip
OS X Snow Leopard binaries: r-release: AdaptiveSparsity_1.4.tgz, r-oldrel: AdaptiveSparsity_1.4.tgz
OS X Mavericks binaries: r-release: AdaptiveSparsity_1.4.tgz
Old sources: AdaptiveSparsity archive