This package is considered a duplicate. The official version of this package is found at:https://cran.r-universe.dev/metafuse

Package: metafuse 2.0-1

Lu Tang

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.

Authors:Lu Tang, Ling Zhou, Peter X.K. Song

metafuse_2.0-1.tar.gz
metafuse_2.0-1.zip(r-4.7-any)metafuse_2.0-1.zip(r-4.6-any)metafuse_2.0-1.zip(r-4.5-any)
metafuse_2.0-1.tgz(r-4.6-any)metafuse_2.0-1.tgz(r-4.5-any)
metafuse_2.0-1.tar.gz(r-4.7-any)metafuse_2.0-1.tar.gz(r-4.6-any)
metafuse_2.0-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
metafuse/json (API)

# Install 'metafuse' in R:

install.packages('metafuse', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

archived packages r-universe

1.70 score 5 stars 4 scripts 267 downloads 3 exports 12 dependencies

Last updated from:d5a6756676 (on package/metafuse). Checks:7 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel	NOTE	111
source / vignettes	OK	141
linux-release	NOTE	106
macos-release	NOTE	108
macos-oldrel	NOTE	83
windows-devel	NOTE	72
windows-release	NOTE	85
windows-oldrel	NOTE	72
wasm-release	OK	96

Exports:datagenerator metafuse metafuse.l

Dependencies:codetools evd foreach glmnet iterators lattice MASS Matrix Rcpp RcppEigen shape survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fused Lasso Approach in Regression Coefficient Clustering	metafuse-package
simulate data	datagenerator
fit a GLM with fusion penalty for data integraion	metafuse
fit a GLM with fusion penalty for data integraion, with a fixed lambda	metafuse.l