Building PRS Models Based on Summary Statistics of GWAs

Documentation for package ‘PANPRSnext’ version 1.2.0

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)