| susie_finemap_region | R Documentation | 
Run fine-mapping with SuSiE using summary statistics for one LD block
susie_finemap_region(
  sumstats,
  R = NULL,
  snp_info = NULL,
  bigSNP = NULL,
  n = NULL,
  L = 1,
  prior_weights = NULL,
  estimate_residual_variance = FALSE,
  verbose = FALSE,
  save = FALSE,
  ...
)
sumstats | 
 A data frame of summary statistics  | 
R | 
 LD (correlation) matrix  | 
snp_info | 
 Variant information for the LD matrix.  | 
bigSNP | 
 a   | 
n | 
 GWAS sample size (optional, but strongly recommended.)  | 
L | 
 Number of causal signals.  | 
prior_weights | 
 A vector of prior probability for each SNP  | 
estimate_residual_variance | 
 The default is FALSE, the residual variance is fixed to 1 or variance of y. If the in-sample LD matrix is provided, we recommend setting estimate_residual_variance = TRUE.  | 
verbose | 
 If TRUE, print progress  | 
save | 
 If TRUE, save SuSiE result and LD (R) matrix.  | 
a list of SuSiE results, and z-scores and LD (R) matrix used in SuSiE
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