logJ: Logarithm of J
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model
Description
Usage
Arguments
Value
Author(s)
Description
This function computes the function J that appears in the Metropolis Odds as
propose in Wang and Li, in Efficient Gaussian graphical Model determination
under G-Wishart prior distributions.
Usage
1
logJ(h, B, a11)
Arguments
h
Degrees of Freedom for the Wishart Distribution
B
2 by 2 sub-matrix of the precision matrix.
a11
Entry 1,1 from the A matrix.
Value
The Logarithm of J.
Author(s)
Rene Gutierrez Marquez
Rene-Gutierrez/BayTenGraMod documentation built on Dec. 12, 2020, 11:24 a.m.
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Description Usage Arguments Value Author(s)
Description
This function computes the function J that appears in the Metropolis Odds as propose in Wang and Li, in Efficient Gaussian graphical Model determination under G-Wishart prior distributions.
Usage
1 | logJ(h, B, a11)
|
Arguments
h |
Degrees of Freedom for the Wishart Distribution |
B |
2 by 2 sub-matrix of the precision matrix. |
a11 |
Entry 1,1 from the A matrix. |
Value
The Logarithm of J.
Author(s)
Rene Gutierrez Marquez
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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