STD_Fast: Fast Implementation of Second Order Moment of Generalized...
In DiffNet: Detection of Statistically Significant Changes in Complex Biological Networks
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Provides a very fast implementation for obtaining the asymptotic standard deviation for GHD statistic
Usage
1
STD_Fast(A, B)
Arguments
A
Topological matrix obtained from graph g_A.
B
Topological matrix obtained from graph g_B.
Value
Returns the asymptotic standard deviation value for GHD statistic between permutations of topological matrices of graphs g_A and graph g_B.
Author(s)
Raghvendra Mall <rmall@hbku.edu.qa>
See Also
DiffNet documentation built on May 2, 2019, 9:15 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Provides a very fast implementation for obtaining the asymptotic standard deviation for GHD statistic
Usage
1 | STD_Fast(A, B)
|
Arguments
A |
Topological matrix obtained from graph g_A. |
B |
Topological matrix obtained from graph g_B. |
Value
Returns the asymptotic standard deviation value for GHD statistic between permutations of topological matrices of graphs g_A and graph g_B.
Author(s)
Raghvendra Mall <rmall@hbku.edu.qa>
See Also
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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