computeELBO {mixedMem} | R Documentation |
computeELBO
computes the variational lower bound on the log-likelihood, also called the ELBO, for a mixed membership model.
computeELBO(model)
model |
a |
The lower bound (ELBO) is the objective function in the variational EM algorithim. It is a function of the latent variables (φ and δ) and the parameters (α and θ) that be derived from Jensen's inequality:
E_Q{\log[p(X,Z, Λ)]} - E_Q{\log[Q(Z, Λ|φ, δ)]} ≤\log P(obs |α, θ)
computeELBO
returns the lower bound on the log-likelihood, a real number.