grad_HMM_stat_dir_oe: C++ function for updating the gradient function in a static...
In ergmclust: ERGM-Based Network Clustering
Description
Usage
Arguments
Value
Description
The C++ function grad_HMM_stat_dir_oe() updates the gradient function when the number of clusters is greater than or equal to 2 in a static binary directed network. (The above description may need further improvement.)
Usage
1
grad_HMM_stat_dir_oe(theta, gamma, network, N, K)
Arguments
theta
Vector of current theta (network canonical parameters) values.
gamma
Vector of current gamma (variational parameters) values.
network
Array of a network adjacency matrices.
N
Number of nodes.
K
Number of clusters.
Value
Returns the gradient vector of ELBO with respect to theta parameters for Newton-Raphson update in the M-step.
ergmclust documentation built on Feb. 1, 2021, 9:07 a.m.
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Description Usage Arguments Value
Description
The C++ function grad_HMM_stat_dir_oe() updates the gradient function when the number of clusters is greater than or equal to 2 in a static binary directed network. (The above description may need further improvement.)
Usage
1 | grad_HMM_stat_dir_oe(theta, gamma, network, N, K)
|
Arguments
theta |
Vector of current |
gamma |
Vector of current |
network |
Array of a network adjacency matrices. |
N |
Number of nodes. |
K |
Number of clusters. |
Value
Returns the gradient vector of ELBO with respect to theta parameters for Newton-Raphson update in the M-step.
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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