metafuse: Fused Lasso Approach in Regression Coefficient Clustering

Fused lasso method to cluster and estimate regression coefficients of the same covariate across different data sets when a large number of independent data sets are combined. Package supports Gaussian, binomial, Poisson and Cox PH models.

Version: 2.0-1
Imports: glmnet, Matrix, MASS, evd
Published: 2016-10-17
Author: Lu Tang, Ling Zhou, Peter X.K. Song
Maintainer: Lu Tang <lutang at umich.edu>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: metafuse results

Documentation:

Reference manual: metafuse.pdf

Downloads:

Package source: metafuse_2.0-1.tar.gz
Windows binaries: r-devel: metafuse_2.0-1.zip, r-release: metafuse_2.0-1.zip, r-oldrel: metafuse_2.0-1.zip
macOS binaries: r-release (arm64): metafuse_2.0-1.tgz, r-oldrel (arm64): metafuse_2.0-1.tgz, r-release (x86_64): metafuse_2.0-1.tgz
Old sources: metafuse archive

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