Informresults.I: Example Summary From 100K iterations of sampleBVS with...
In BVS: Bayesian Variant Selection: Bayesian Model Uncertainty Techniques for Genetic Association Studies
Description
Summary from 100K iterations of sampleBVS with the informative study-based data set InformData using summaryBVS. 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.
Usage
1
References
Quintana M, Conti D (Submitted). Integrative Variable Selection via Bayesian Model
Uncertainty.
BVS documentation built on May 1, 2019, 10:16 p.m.
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Description
Summary from 100K iterations of sampleBVS with the informative study-based data set InformData using summaryBVS. 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.
Usage
1 |
References
Quintana M, Conti D (Submitted). Integrative Variable Selection via Bayesian Model Uncertainty.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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