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BVS (version 4.12.0)

Bayesian Variant Selection: Bayesian Model Uncertainty Techniques for Genetic Association Studies

Description

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.

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Version

Install

install.packages('BVS')

Monthly Downloads

3

Version

4.12.0

License

Unlimited

Maintainer

Melanie Quintana

Last Published

May 10th, 2012

Functions in BVS (4.12.0)

InformData

PNAT Study-based Simulation: Informative Data.
summaryBVS

Calculates Posterior Summaries for BVS Methods
enumerateBVS

Function to Enumerate all models for Bayesian Variant Selection Methods
Informresults.I

Example Summary From 100K iterations of sampleBVS with Informative Data
RareBVS.out

Example Output From 100K iterations of sampleBVS with Rare Data
BVS-package

Bayesian Variant Selection: Bayesian Model Uncertainty Techniques for Genetic Association Studies
sampleBVS

Sampling Algorithm for Bayesian Variant Selection Methods
hapBVS

Function to estimate and report a set of haplotypes given a subset of variants
Informresults.NI

Example Summary From 100K iterations of sampleBVS with Informative Data
RareResults

Example Summary From 100K iterations of sampleBVS with Rare Data
InformBVS.I.out

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

Example Output From 100K iterations of sampleBVS with Informative Data
plotBVS

Image Plots for top Variant and Gene Inclusions
fitBVS

Function to calculate fitness for each model for Bayesian Variant Selection Methods
RareData

Simulated Example Rare Variant data set.