metafuse: Fused Lasso Approach in Regression Coefficient Clustering

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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.

Author
Lu Tang, Ling Zhou, Peter X.K. Song
Date of publication
2016-10-17 00:37:55
Maintainer
Lu Tang <lutang@umich.edu>
License
GPL-2
Version
2.0-1

View on CRAN

Man pages

datagenerator
simulate data
metafuse
fit a GLM with fusion penalty for data integraion
metafuse.l
fit a GLM with fusion penalty for data integraion, with a...
metafuse-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("metafuse")}

Files in this package

metafuse
metafuse/NAMESPACE
metafuse/R
metafuse/R/metafuse_functions.R
metafuse/MD5
metafuse/build
metafuse/build/partial.rdb
metafuse/DESCRIPTION
metafuse/man
metafuse/man/datagenerator.Rd
metafuse/man/metafuse.Rd
metafuse/man/metafuse-package.Rd
metafuse/man/metafuse.l.Rd