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Enables high-dimensional penalized regression across heterogeneous subgroups. Fusion penalties are used to share information about the linear parameters across subgroups. The underlying model is described in detail in Dondelinger and Mukherjee (2017) <doi:10.48550/arXiv.1611.00953>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Matrix, irlba, Rcpp, glmnet, RSpectra |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat, ggplot2, knitr, rmarkdown |
| Published: | 2018-06-17 |
| Author: | Frank Dondelinger [aut, cre], Olivier Wilkinson [aut] |
| Maintainer: | Frank Dondelinger <fdondelinger.work at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | fuser results |
| Reference manual: | fuser.pdf |
| Vignettes: |
Fuser Subgroup Prediction |
| Package source: | fuser_1.0.1.tar.gz |
| Windows binaries: | r-devel: fuser_1.0.1.zip, r-release: fuser_1.0.1.zip, r-oldrel: fuser_1.0.1.zip |
| macOS binaries: | r-release (arm64): fuser_1.0.1.tgz, r-oldrel (arm64): fuser_1.0.1.tgz, r-release (x86_64): fuser_1.0.1.tgz, r-oldrel (x86_64): fuser_1.0.1.tgz |
| Old sources: | fuser archive |
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