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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>.
| Version: | 3.4 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.11.1), ontologyIndex (≥ 2.0), ontologySimilarity (≥ 2.0), ontologyPlot |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-02-21 |
| Author: | Daniel Greene |
| Maintainer: | Daniel Greene <dg333 at cam.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | SimReg results |
| Reference manual: | SimReg.pdf |
| Vignettes: |
Similarity Regression - Introduction Prior phenotypic information |
| Package source: | SimReg_3.4.tar.gz |
| Windows binaries: | r-devel: SimReg_3.4.zip, r-release: SimReg_3.4.zip, r-oldrel: SimReg_3.4.zip |
| macOS binaries: | r-release (arm64): SimReg_3.4.tgz, r-oldrel (arm64): SimReg_3.4.tgz, r-release (x86_64): SimReg_3.4.tgz, r-oldrel (x86_64): SimReg_3.4.tgz |
| Old sources: | SimReg archive |
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