matz: Various multi-trait association tests using GWAS summary data
In baolinwu/MTAR: Various Multi-Trait Association tests in R
Description
Usage
Arguments
Value
References
Description
We compute analytical p-values for three multi-trait tests: minimum marginal test p-value (minP), sum of Z-stats (SZ),
and sum of squared Z-stats (SZ2).
Usage
1
matz(Z, Sig)
Arguments
Z
summary Z-statistics across multiple traits
Sig
the estimated marginal trait correlation matrix
Value
vector of p-values for three tests: minP,SZ,SZ2
References
Massoti M*, Guo B* and Wu B. (2018) Pleiotropy informed adaptive association test of multiple traits using GWAS summary data. Biometrics, to appear (* contribute equallly).
baolinwu/MTAR documentation built on May 14, 2019, 6:03 a.m.
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Description Usage Arguments Value References
Description
We compute analytical p-values for three multi-trait tests: minimum marginal test p-value (minP), sum of Z-stats (SZ), and sum of squared Z-stats (SZ2).
Usage
1 | matz(Z, Sig)
|
Arguments
Z |
summary Z-statistics across multiple traits |
Sig |
the estimated marginal trait correlation matrix |
Value
vector of p-values for three tests: minP,SZ,SZ2
References
Massoti M*, Guo B* and Wu B. (2018) Pleiotropy informed adaptive association test of multiple traits using GWAS summary data. Biometrics, to appear (* contribute equallly).
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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