BMRV: Bayesian Models for Rare Variant Association Analysis

Provides two Bayesian models for detecting the association between rare genetic variants and a trait that can be continuous, ordinal or binary. Bayesian latent variable collapsing model (BLVCM) detects interaction effect and is dedicated to twin design while it can also be applied to independent samples. Hierarchical Bayesian multiple regression model (HBMR) incorporates genotype uncertainty information and can be applied to either independent or family samples. Furthermore, it deals with continuous, binary and ordinal traits.

Version: 1.32
Depends: R (≥ 3.1.1), stats
LinkingTo: BH
Published: 2016-11-01
Author: Liang He
Maintainer: Liang He <liang.he at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BMRV results

Downloads:

Reference manual: BMRV.pdf
Package source: BMRV_1.32.tar.gz
Windows binaries: r-devel: BMRV_1.32.zip, r-release: BMRV_1.32.zip, r-oldrel: BMRV_1.32.zip
OS X Mavericks binaries: r-release: BMRV_1.32.tgz, r-oldrel: BMRV_1.32.tgz
Old sources: BMRV archive

Linking:

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