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BVS (version 4.12.1)

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

10

Version

4.12.1

License

Unlimited

Maintainer

Melanie Quintana

Last Published

August 9th, 2012

Functions in BVS (4.12.1)

BVS-package

Bayesian Variant Selection: Bayesian Model Uncertainty Techniques for Genetic Association Studies
Informresults.I

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

PNAT Study-based Simulation: Informative Data.
Informresults.NI

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

Example Summary From 100K iterations of sampleBVS with Rare Data
enumerateBVS

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

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

Simulated Example Rare Variant data set.
hapBVS

Function to estimate and report a set of haplotypes given a subset of variants
summaryBVS

Calculates Posterior Summaries for BVS Methods
fitBVS

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

Image Plots for top Variant and Region Inclusions
InformBVS.NI.out

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

Sampling Algorithm for Bayesian Variant Selection Methods
RareBVS.out

Example Output From 100K iterations of sampleBVS with Rare Data