multibeta | R Documentation |
Using summary statistics, calculates joint effect estimates
multibeta(mod, beta1, Gmat, N, ybar, is.snpmat, raf = NULL)
mod |
joint SNP model with snps separated by |
beta1 |
named vector single-SNP effect estimates; each effect estimate has name given by SNP id and ids must appear in Gmat columns |
Gmat |
genotype matrix with SNP columns and individuals rows; could be reference matrix or from sample |
N |
sample size for trait |
ybar |
trait mean |
is.snpmat |
logical taking value TRUE when Gmat is a genotype matrix and FALSE when Gmat is a SNP covariance matrix |
raf |
named vector of SNP reference allele frequencies (must match SNP coding used for effect estimates); only needed if Gmat is a covariance matrix |
joint effect estimates for SNPs in model given by mod
Jenn Asimit
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