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TSDFGS

Training Set Determination for Genomic Selection

v2.0 · Jun 7, 2022 · GPL (>= 3)

Description

We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set <doi:10.1007/s00122-019-03387-0>. This package provides two main functions to determine a good training set and its size.

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2 NOTE
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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 OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

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

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OK r-devel-linux-x86_64-fedora-clang

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OK r-devel-linux-x86_64-fedora-gcc

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OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is 16.8Mb
  sub-directories of 1Mb or more:
    data   1.2Mb
    libs  15.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 16.9Mb
  sub-directories of 1Mb or more:
    data   1.2Mb
    libs  15.6Mb
OK r-oldrel-windows-x86_64

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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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OK r-release-windows-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 16.8Mb
  sub-directories of 1Mb or more:
    data   1.2Mb
    libs  15.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 16.9Mb
  sub-directories of 1Mb or more:
    data   1.2Mb
    libs  15.6Mb

Dependency Network

Dependencies Reverse dependencies dplyr ggplot2 latex2exp lifecycle Rcpp (>= 1.0.8.3) TSDFGS

Version History

new 2.0 Mar 9, 2026