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fuser: Fused Lasso for High-Dimensional Regression over Groups
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) <arXiv:1611.00953>.
Getting started
Browse package contents
Package details |
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| Author | Frank Dondelinger [aut, cre], Olivier Wilkinson [aut] |
| Maintainer | Frank Dondelinger <fdondelinger.work@gmail.com> |
| License | GPL-3 |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
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