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PCLassoReg

Group Regression Models for Risk Protein Complex Identification

v1.0.0 · Oct 26, 2021 · GPL-3

Description

Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex identification. PCLasso is a prognostic model that identifies risk protein complexes associated with survival. PCLasso2 is a classification model that identifies risk protein complexes associated with classes. For more information, see Wang and Liu (2021) <doi:10.1093/bib/bbab212>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang NOTE
r-devel-linux-x86_64-fedora-gcc NOTE
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
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NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘survival’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘survival’
  All declared Imports should be used.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘survival’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘survival’
  All declared Imports should be used.

Code

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Dependency Network

Dependencies Reverse dependencies survival grpreg PCLassoReg

Version History

1 tracked
new 1.0.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Oct 26, 2021. Releases before tracking aren’t shown.