Description Usage Arguments Details Value Author(s) See Also Examples
Hypothesis testing of annotation enrichment.
1 2 | test_beta(data, X, id, LPMfit)
test_beta_louise(data, X, id, LPMfit)
|
data |
A list of dataframes which contains SNP IDs and p-values for multiple GWASs, the length is the number of GWASs. |
X |
Design matrix of functional annotations without intercept, where row and column correspond to SNP and annotation, respectively. Default is |
id |
ID of the target GWAS, the length is 1. For example, |
LPMfit |
LPM model fit. |
test_beta
implements the hypothesis testing of annotation enrichment.
test_beta_louise
implements the hypothesis testing of annotation enrichment using Louise method.
Returns
p_value |
p-value of the hypothesis testing of annotation enrichment. |
se |
Standard error of the estimates |
Jingsi Ming
1 2 3 |
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