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metafuse (version 2.0-1)

Fused Lasso Approach in Regression Coefficient Clustering

Description

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.

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Version

Install

install.packages('metafuse')

Monthly Downloads

204

Version

2.0-1

License

GPL-2

Maintainer

Lu Tang

Last Published

October 17th, 2016

Functions in metafuse (2.0-1)

datagenerator

simulate data
metafuse-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}metafuseFused Lasso Approach in Regression Coefficient Clustering
metafuse

fit a GLM with fusion penalty for data integraion
metafuse.l

fit a GLM with fusion penalty for data integraion, with a fixed lambda