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-4.5-noble)metafuse_2.0-1.tar.gz(r-4.4-noble)
metafuse_2.0-1.tgz(r-4.4-emscripten)metafuse_2.0-1.tgz(r-4.3-emscripten)
metafuse.pdf |metafuse.html✨
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 8 years agofrom:a53353a94a. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux | NOTE | Nov 28 2024 |
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 |