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PanCanVarSel

Pan-Cancer Variable Selection

v0.0.3 · Sep 20, 2019 · GPL-3

Description

Provides function for performing Bayesian survival regression using Horseshoe prior in the accelerated failure time model with log normal assumption in order to achieve high dimensional pan-cancer variable selection as developed in Maity et. al. (2019) <doi:10.1111/biom.13132>.

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

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OK r-devel-linux-x86_64-debian-gcc

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NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

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  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: ‘smoothmest’
  All declared Imports should be used.
OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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NOTE r-oldrel-macos-arm64

LazyData

  'LazyData' is specified without a 'data' directory
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LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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OK r-release-macos-arm64

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OK r-release-macos-x86_64

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Check History

NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘smoothmest’
  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: ‘smoothmest’
  All declared Imports should be used.
NOTE r-oldrel-macos-arm64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

  'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies mvtnorm Matrix smoothmest msm PanCanVarSel

Version History

new 0.0.3 Mar 9, 2026