hess_theta_weighted_stat_undir_K1: C++ function for updating the Hessian matrix in a weighted...
In ergmclust: Exponential-Family Random Graph Models for Network Clustering
hess_theta_weighted_stat_undir_K1 R Documentation
C++ function for updating the Hessian matrix in a weighted static binary undirected network.
Description
The C++ function hess_theta_weighted_stat_undir_K1() updates the Hessian matrix when the number of clusters is equal to 1 in a weighted static binary undirected network.
Usage
hess_theta_weighted_stat_undir_K1(theta, N)
Arguments
theta
Vector of current theta (network canonical parameters) values.
N
Number of nodes.
Value
Returns the Hessian matrix of ELBO with respect to theta parameters for Newton-Raphson update in M-step.
ergmclust documentation built on March 16, 2026, 5:06 p.m.
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| hess_theta_weighted_stat_undir_K1 | R Documentation |
C++ function for updating the Hessian matrix in a weighted static binary undirected network.
Description
The C++ function hess_theta_weighted_stat_undir_K1() updates the Hessian matrix when the number of clusters is equal to 1 in a weighted static binary undirected network.
Usage
hess_theta_weighted_stat_undir_K1(theta, N)
Arguments
theta |
Vector of current |
N |
Number of nodes. |
Value
Returns the Hessian matrix of ELBO with respect to theta parameters for Newton-Raphson update in 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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