sampleBinit: Sample initial regression coefficients.
In EDISON: Network Reconstruction and Changepoint Detection
Description
Usage
Arguments
Value
Author(s)
References
Description
This function samples the initial regression coefficients for the networks.
Usage
1
sampleBinit(Si, sig2, delta2, X, q)
Arguments
Si
Network structure.
sig2
Sigma squared.
delta2
Signal-to-noise ratio hyperparameter.
X
Input data.
q
Number of nodes.
Value
Returns a vector of regression coefficients.
Author(s)
Sophie Lebre
References
For details of the regression model, see:
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with
Bayesian regularization for inferring gene regulatory networks with
gradually time-varying structure", Machine Learning.
EDISON documentation built on May 2, 2019, 2:39 a.m.
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Description Usage Arguments Value Author(s) References
Description
This function samples the initial regression coefficients for the networks.
Usage
1 | sampleBinit(Si, sig2, delta2, X, q)
|
Arguments
Si |
Network structure. |
sig2 |
Sigma squared. |
delta2 |
Signal-to-noise ratio hyperparameter. |
X |
Input data. |
q |
Number of nodes. |
Value
Returns a vector of regression coefficients.
Author(s)
Sophie Lebre
References
For details of the regression model, see:
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.
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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