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R/RcppExports.R
In GGPA: graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture
Defines functions
Gibbs_e_it_no_ann
Documented in
Gibbs_e_it_no_ann
# This file was generated by Rcpp::compileAttributes
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
Gibbs_e_it_no_ann <- function(beta_mat, G_mat, n_SNP, n_GibbsStep) {
.Call('GGPA_Gibbs_e_it_no_ann', PACKAGE = 'GGPA', beta_mat, G_mat, n_SNP, n_GibbsStep)
}
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GGPA documentation built on Nov. 8, 2020, 5:37 p.m.
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Defines functions Gibbs_e_it_no_ann
Documented in Gibbs_e_it_no_ann
# This file was generated by Rcpp::compileAttributes
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
Gibbs_e_it_no_ann <- function(beta_mat, G_mat, n_SNP, n_GibbsStep) {
.Call('GGPA_Gibbs_e_it_no_ann', PACKAGE = 'GGPA', beta_mat, G_mat, n_SNP, n_GibbsStep)
}
Try the GGPA package in your browser
Any scripts or data that you put into this service are public.
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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