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BeviMed: Bayesian Evaluation of Variant Involvement in Mendelian Disease

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

Documentation:

Reference manual: BeviMed.pdf
Vignettes: BeviMed Introduction
BeviMed with VCFs
BeviMed Guide

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BeviMed to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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