calc_ScoreV_RVS: calc_ScoreV_RVS calculates variance of vector S by RVS using...
In Struglab/RVS: Robust Variance Score (RVS) test for association of variants from next generation sequence data with binary traits using external controls
Description
Usage
Arguments
Value
Description
it is called in RVS_rare
Usage
1
calc_ScoreV_RVS(X, Y, P, hom, multiplier, snp_loop)
Arguments
X
the expected conditional genotype probability for case and controls
Y
the phenotype
P
genotype frequency for J variants P(G=0), P(G=1) and P(G=2), J by 3 matrix
Value
the variance of score statistic vector S by RVS using robust variance
Struglab/RVS documentation built on May 9, 2019, 3:11 p.m.
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Description Usage Arguments Value
Description
it is called in RVS_rare
Usage
1 | calc_ScoreV_RVS(X, Y, P, hom, multiplier, snp_loop)
|
Arguments
X |
the expected conditional genotype probability for case and controls |
Y |
the phenotype |
P |
genotype frequency for J variants P(G=0), P(G=1) and P(G=2), J by 3 matrix |
Value
the variance of score statistic vector S by RVS using robust variance
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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