TPR: TPR
In Ivis4ml/SparseSEMs: Sparse Structural Equation Models for jointly inferring Gene Regulatory Networks
Description
Power of detection for network prediction
Usage
1
TPR(X, B, PREC = 0)
Arguments
X
list of predicted network matrices
B
list of true network matrices
PREC
precision threshold for FDR test. Default 0.
Ivis4ml/SparseSEMs documentation built on May 23, 2019, 2:43 p.m.
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Description
Power of detection for network prediction
Usage
1 | TPR(X, B, PREC = 0)
|
Arguments
X |
list of predicted network matrices |
B |
list of true network matrices |
PREC |
precision threshold for FDR test. Default 0. |
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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