assoc: Statistical inference for association mapping
In mingjingsi/LPM: LPM (Latent Probit Model)
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Statistical inference for association mapping.
Usage
1
Arguments
post
The posterior for association mapping.
FDRset
FDR level. Default is 0.1.
fdrControl
Method to control FDR. Possible values are "global" (global FDR control) and "local" (local FDR control).
Details
assoc makes statistical inference for association mapping.
Value
The binary values indicating association of SNPs, where one indicates association and zero otherwise. The format is the same with post.
Author(s)
Jingsi Ming
See Also
Examples
1
assoc.SNP <- assoc(posterior1, FDRset = 0.1, fdrControl = "global")
mingjingsi/LPM documentation built on April 2, 2020, 9:32 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Statistical inference for association mapping.
Usage
1 |
Arguments
post |
The posterior for association mapping. |
FDRset |
FDR level. Default is 0.1. |
fdrControl |
Method to control FDR. Possible values are "global" (global FDR control) and "local" (local FDR control). |
Details
assoc makes statistical inference for association mapping.
Value
The binary values indicating association of SNPs, where one indicates association and zero otherwise. The format is the same with post.
Author(s)
Jingsi Ming
See Also
Examples
1 | assoc.SNP <- assoc(posterior1, FDRset = 0.1, fdrControl = "global")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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