ebdbn-internal: Internal functions for Empirical Bayes Dynamic Bayesian...
In ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks
ebdbn-internal R Documentation
Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
Description
Internal functions for the ebdbNet package.
Usage
sumFunc(x, cutoff)
fdbkFunc(y)
Arguments
x
Vector of singular values from singular value decomposition of block-Hankel matrix
cutoff
Value to determine cutoff to be considered for singular values (e.g., 0.90)
y
A list of R (PxT) matrices of observed time course profiles
Author(s)
Andrea Rau
See Also
hankel, ebdbn
ebdbNet documentation built on Sept. 4, 2023, 5:07 p.m.
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| ebdbn-internal | R Documentation |
Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
Description
Internal functions for the ebdbNet package.
Usage
sumFunc(x, cutoff)
fdbkFunc(y)
Arguments
x |
Vector of singular values from singular value decomposition of block-Hankel matrix |
cutoff |
Value to determine cutoff to be considered for singular values (e.g., 0.90) |
y |
A list of R (PxT) matrices of observed time course profiles |
Author(s)
Andrea Rau
See Also
hankel, ebdbn
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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