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:

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