R: Building PRS Models Based on Summary Statistics of GWAs

# Building PRS Models Based on Summary Statistics of GWAs

## Documentation for package ‘PANPRSnext’ version 1.2.1

- DESCRIPTION file
- Package README

## Help Pages

funcIndex | Inputs for the functional annotations of SNPs.
gsfPEN_cpp | Main CPP function
gsfPEN_R | Run the gsfPEN algorithm for multiple traits, with functional annotations.
gsfPEN_sparse_cpp | Main CPP function
gsPEN_cpp | Main CPP function
gsPEN_R | Run the gsPEN algorithm for multiple traits, without functional annotations.
gsPEN_sparse_cpp | Main CPP function
Nvec | A vector of sample sizes for the q traits of the 'summaryZ'.
plinkLD | The LD info from output of the software (plink)
summaryZ | The Z statistics from the univariate analysis of the association between 3614 SNPs and three traits respectively.
test_gsfPEN | Run gsfPEN on a small sample of the provided data set (Only 100 samples)
test_gsPEN | Run gsPEN on a small sample of the provided data set (Only 100 samples)