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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