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:	1.6
Depends:	R (≥ 3.0.2)
Imports:	MASS, Matrix, Rcpp
LinkingTo:	Rcpp (≥ 0.12.13), RcppArmadillo (≥ 0.2.0)
Published:	2018-08-20
Author:	Kristen Zygmunt, Eleanor Wong, Tom Fletcher
Maintainer:	Kris Campbell <kris at sci.utah.edu>
License:	LGPL (≥ 3.0)
NeedsCompilation:	yes
CRAN checks:	AdaptiveSparsity results

Documentation:

Reference manual:

AdaptiveSparsity.pdf

Downloads:

Package source:	AdaptiveSparsity_1.6.tar.gz
Windows binaries:	r-devel: AdaptiveSparsity_1.6.zip, r-release: AdaptiveSparsity_1.6.zip, r-oldrel: AdaptiveSparsity_1.6.zip
macOS binaries:	r-release (arm64): AdaptiveSparsity_1.6.tgz, r-oldrel (arm64): AdaptiveSparsity_1.6.tgz, r-release (x86_64): AdaptiveSparsity_1.6.tgz, r-oldrel (x86_64): AdaptiveSparsity_1.6.tgz
Old sources:	AdaptiveSparsity archive

Linking:

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