A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.
| Version: | 5.7 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.12.3), methods |
| LinkingTo: | Rcpp |
| Suggests: | knitr |
| Published: | 2020-03-28 |
| Author: | Daniel Greene, Sylvia Richardson and Ernest Turro |
| Maintainer: | Daniel Greene <dg333 at cam.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | BeviMed citation info |
| Materials: | NEWS |
| CRAN checks: | BeviMed results |
| Reference manual: | BeviMed.pdf |
| Vignettes: |
BeviMed Introduction BeviMed with VCFs BeviMed Guide |
| Package source: | BeviMed_5.7.tar.gz |
| Windows binaries: | r-devel: BeviMed_5.7.zip, r-release: BeviMed_5.7.zip, r-oldrel: BeviMed_5.7.zip |
| macOS binaries: | r-release: BeviMed_5.7.tgz, r-oldrel: BeviMed_5.7.tgz |
| Old sources: | BeviMed archive |
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