fdrtool.quantile.2N: P-values estimation from mixture of 2 centered normal
In jmonlong/PopSV: Population-based detection of structural variants from Read-Depth signal
Description
Usage
Arguments
Value
Author(s)
View source: R/fdrtool.quantile.2N.R
Description
Compute the null variances. Here the null distribution is modeled as two Normal distrution centered in 0. The variance are fitted to the empirical distribution. P-values and Q-values are derived from the Z-score and this fitted null distribution.
Usage
1
Arguments
z
a vector with the Z-scores
Value
a list with
sigma.est.dup
the estimated null distribution variance for positive Z-scores
sigma.est.del
the estimated null distribution variance for negative Z-scores
Author(s)
Jean Monlong
jmonlong/PopSV documentation built on Sept. 15, 2019, 9:29 p.m.
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Description Usage Arguments Value Author(s)
View source: R/fdrtool.quantile.2N.R
Description
Compute the null variances. Here the null distribution is modeled as two Normal distrution centered in 0. The variance are fitted to the empirical distribution. P-values and Q-values are derived from the Z-score and this fitted null distribution.
Usage
1 |
Arguments
z |
a vector with the Z-scores |
Value
a list with
sigma.est.dup |
the estimated null distribution variance for positive Z-scores |
sigma.est.del |
the estimated null distribution variance for negative Z-scores |
Author(s)
Jean Monlong
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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