InformBVS.I.out


  Output from 100K iterations of <cite><a rd-options="" href="/link/sampleBVS?package=BVS&version=4.12.1" data-mini-rdoc="BVS::sampleBVS">sampleBVS</a></cite> with the informative study-based data set <cite><a rd-options="" href="/link/InformData?package=BVS&version=4.12.1" data-mini-rdoc="BVS::InformData">InformData</a></cite>.  This was ran with inform=TRUE and gene based predictor-level covariates so that the analysis follows iBMU framework described in Quintana and Conti (submitted) where we sample that the effects of the predictor-level covariates.   


sample output

The functions in this package focus on analyzing
case-control association studies involving a group of genetic
variants.  In particular, we are interested in modeling the
outcome variable as a function of a multivariate genetic
profile using Bayesian model uncertainty and variable selection
techniques.  The package incorporates functions to analyze data
sets involving common variants as well as extensions to model
rare variants via the Bayesian Risk Index (BRI) as well as
haplotypes.  Finally, the package also allows the incorporation
of external biological information to inform the marginal
inclusion probabilities via the iBMU.

InformBVS.I.out: Example Output From 100K iterations of sampleBVS with Informative Data

Description

Usage

Arguments

References