computeBIC {mixedMem} | R Documentation |
Compute the approximate BIC
Description
computeBIC
computes the approximate BIC of a given mixedMemModel
, where the lower bound on the log-likelihood
(also called ELBO) is used instead of the intractable true log-likelihood.
Usage
computeBIC(model)
Arguments
model |
the |
Details
BIC = -2 ELBO + p \log(Total)
where p is the number of estimated parameters and Total is the number of individuals in the sample.
This BIC model selection criteria is used in Erosheva et al (2007). The number of estimated parameters P includes the
parameters \theta
and \alpha
, but omits the variational parameters \phi
and \delta
.
Value
computeBIC
returns the approximate BIC value, a real number.
References
Erosheva, E. A., Fienberg, S. E., & Joutard, C. (2007). Describing disability through individual-level mixture models for multivariate binary data. The annals of applied statistics, 1(2), 346.