Description Usage Arguments Details Value

`computeELBO`

computes the variational lower bound on the log-likelihood, also called the ELBO, for a mixed membership model.

1 | ```
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.

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