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:
metafuse_2.0-1.tar.gz
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✨
card.svg |card.png
metafuse/json (API)
| # Install 'metafuse' in R: |
| install.packages('metafuse', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a53353a94a. Checks:2 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 113 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | NOTE | 125 | ||
| wasm-release | OK | 102 |
Exports:datageneratormetafusemetafuse.l
Dependencies:codetoolsevdforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival
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 |