det.cov.mat: Calculates the determinants of multiple covairance matrices...
In tamartsi/MetaCor: Performs Stratified SNP-trait analysis and combines the results using the MetaCor method
Description
Usage
Arguments
Value
Note
Author(s)
Description
Calculates the determinants of multiple covairance matrices jointly using recurssion.
This is used by the function invert.matrices.jointly, and ultimately it is used to speed-up the
calculation of the MetaGLS test statistics for many SNPs together.
Usage
1
det.cov.mat(cov.mats, S)
Arguments
cov.mats
A p by S^2 matrix of covairance matrices between effect estimates across S strata, corresponding to p SNPs
S
The number of strata
Value
A vector of determinants of the p covariance matrices.
Note
This function is called by invert.matrices.jointly, which is called by corMeta.GLS.invert.mats.
Author(s)
Tamar Sofer
tamartsi/MetaCor documentation built on May 31, 2019, 2:56 a.m.
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Description Usage Arguments Value Note Author(s)
Description
Calculates the determinants of multiple covairance matrices jointly using recurssion. This is used by the function invert.matrices.jointly, and ultimately it is used to speed-up the calculation of the MetaGLS test statistics for many SNPs together.
Usage
1 | det.cov.mat(cov.mats, S)
|
Arguments
cov.mats |
A p by S^2 matrix of covairance matrices between effect estimates across S strata, corresponding to p SNPs |
S |
The number of strata |
Value
A vector of determinants of the p covariance matrices.
Note
This function is called by invert.matrices.jointly, which is called by corMeta.GLS.invert.mats.
Author(s)
Tamar Sofer
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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