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>
License: LGPL (≥ 3.0)
NeedsCompilation: yes
CRAN checks: AdaptiveSparsity results


Reference manual: AdaptiveSparsity.pdf
Package source: AdaptiveSparsity_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: AdaptiveSparsity_1.4.tgz, r-oldrel: not available
Old sources: AdaptiveSparsity archive


Please use the canonical form to link to this page.