sampleSig2: Sample initial sigma squared.
In EDISON: Network Reconstruction and Changepoint Detection
Description
Usage
Arguments
Value
Author(s)
References
Description
This function samples the initial values for the sigma squared variance from
the inverse gamma prior.
Usage
1
sampleSig2(y, Px, v0, gamma0)
Arguments
y
Input data.
Px
Projection matrix.
v0
Inverse gamma prior hyperparameter.
gamma0
Inverse gamma prior hyperparameter.
Value
The sampled sigma squared values.
Author(s)
Sophie Lebre
References
For more information about the 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 values for the sigma squared variance from the inverse gamma prior.
Usage
1 | sampleSig2(y, Px, v0, gamma0)
|
Arguments
y |
Input data. |
Px |
Projection matrix. |
v0 |
Inverse gamma prior hyperparameter. |
gamma0 |
Inverse gamma prior hyperparameter. |
Value
The sampled sigma squared values.
Author(s)
Sophie Lebre
References
For more information about the 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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