analytically compute the variance of a projection given a standard error of beta for a given trait <code>compute_seb_proj_var</code>

analytically compute the variance of a projection given a standard error of beta for a given trait compute_seb_proj_var

compute_seb_proj_var(
  gwas.DT,
  shrink.DT,
  man.DT,
  w.DT,
  ref_gt_dir,
  method = "shrinkage",
  quiet = FALSE
)

Arguments

gwas.DT	a data.table - variants and summary statistics
shrink.DT	a data.table - as returned by `compute_shrinkage_metrics`
man.DT	a data.table - snp manifest file that maps snps to ld.block
w.DT	a data.table - a data table of weights/rotations from a basis first column is 'pid' and subsequent columns for each principal component.
ref_gt_dir	scalar - path to a dir of R objects named CHR_1kg.RData containing reference GT in snpMatrix format
method	scalar - shrinkage method to use (default shrinkage) but also valid is none
quiet	a scalar - boolean whether to show progress messages

a scalar of variances for each principal component