Description
Similarity regression, evaluating the probability of association between sets of ontological terms and binary response vector. A no-association model is compared with one in which the log odds of a true response is linked to the semantic similarity between terms and a latent characteristic ontological profile - 'Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases', Greene et al 2016 <doi:10.1016/j.ajhg.2016.01.008>.
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|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| 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 |
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| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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Maintainer: ‘Daniel Greene <dg333@cam.ac.uk>’
No Authors@R field in DESCRIPTION.
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Authors@R: person(given = "Daniel",
family = "Greene",
role = c("aut", "cre"),
email = "dg333@cam.ac.uk")
as necessary.
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r-devel-linux-x86_64-debian-gcc
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Maintainer: ‘Daniel Greene <dg333@cam.ac.uk>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Daniel",
family = "Greene",
role = c("aut", "cre"),
email = "dg333@cam.ac.uk")
as necessary.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Daniel Greene <dg333@cam.ac.uk>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Daniel",
family = "Greene",
role = c("aut", "cre"),
email = "dg333@cam.ac.uk")
as necessary.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Daniel Greene <dg333@cam.ac.uk>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Daniel",
family = "Greene",
role = c("aut", "cre"),
email = "dg333@cam.ac.uk")
as necessary.
Dependency Network
Version History
new
3.4
Mar 10, 2026