VBEM_step: Variational Bayes Expectation Maximization
In mimiSBM: Mixture of Multilayer Integrator Stochastic Block Models
VBEM_step R Documentation
Variational Bayes Expectation Maximization
Description
Variational Bayes Expectation Maximization
Usage
VBEM_step(A, params, alternate = TRUE, eps_conv = 0.001)
Arguments
A
an array of dim=c(N,N,V)
params
list of parameters of the model
alternate
boolean indicated if we put an M-step after each part of the E-step, after u optimization and after tau optimization. If not, we optimize u and tau and after the M-step is made.
eps_conv
parameter of convergence for tau.
Value
params with updated parameters.
mimiSBM documentation built on May 29, 2024, 2:48 a.m.
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| VBEM_step | R Documentation |
Variational Bayes Expectation Maximization
Description
Variational Bayes Expectation Maximization
Usage
VBEM_step(A, params, alternate = TRUE, eps_conv = 0.001)
Arguments
A |
an array of dim=c(N,N,V) |
params |
list of parameters of the model |
alternate |
boolean indicated if we put an M-step after each part of the E-step, after u optimization and after tau optimization. If not, we optimize u and tau and after the M-step is made. |
eps_conv |
parameter of convergence for tau. |
Value
params with updated parameters.
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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