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DESCRIPTION
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DESCRIPTION
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Package: BayesRB
Type: Package
Title: A BAYESIAN APPROACH FOR SNP EFFECT ESTIMATION AND GENETIC RISK
PREDICTION FOR DICHOTOMOUS TRAITS
Version: 1.0
Date: 2022-01-11
Author: Ying Shan
Maintainer: Ying Shan <sylvia.shanboo@gmail.com>
Description: BayesRB is a Bayesian approach for SNP effect estimation and genetic risk prediction for dichotomous traits. It is an extension of BayesR proposed by Moser et al. BayesR method performs well on the SNP effect estimation and genetic risk prediction, but it is designed to be appied to the data with quantitative traits. BayesRB allows the dichotomous outcomes. It inherited the characteristics of unbiasedness, accuracy, sparseness, robustness and powerfulness.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.3), methods,RcppGSL
LazyData: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-1-11 00:10:45 UTC; shansylvia
Depends:
R (>= 2.10)