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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: | 5.10 |
Depends: | R (≥ 3.0.0) |
Imports: | Rcpp (≥ 0.12.3), Matrix, methods |
LinkingTo: | Rcpp |
Suggests: | rmarkdown, knitr |
Published: | 2024-05-29 |
DOI: | 10.32614/CRAN.package.BeviMed |
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_5.10.tar.gz |
Windows binaries: | r-devel: BeviMed_5.10.zip, r-release: BeviMed_5.10.zip, r-oldrel: BeviMed_5.10.zip |
macOS binaries: | r-release (arm64): BeviMed_5.10.tgz, r-oldrel (arm64): BeviMed_5.10.tgz, r-release (x86_64): BeviMed_5.10.tgz, r-oldrel (x86_64): BeviMed_5.10.tgz |
Old sources: | BeviMed archive |
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These binaries (installable software) and packages are in development.
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