computeAIC: Compute the approximate AIC
In ysamwang/mixedMem: Tools for Discrete Multivariate Mixed Membership Models
Description
Usage
Arguments
Details
Value
Description
computeAIC computes the approximate AIC of a given mixedMemModelVI, where the lower bound on the log-likelihood
(also called ELBO) is used instead of the intractable true log-likelihood.
Usage
1
computeAIC(model)
Arguments
model
the mixedMemModelVI object for which the AIC will be calculated.
Details
AIC = -2 ELBO + 2 * p
where p is the number of estimated parameters.
Value
computeAIC returns the approximate AIC value, a real number.
ysamwang/mixedMem documentation built on May 4, 2019, 5:33 p.m.
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Description Usage Arguments Details Value
Description
computeAIC computes the approximate AIC of a given mixedMemModelVI, where the lower bound on the log-likelihood
(also called ELBO) is used instead of the intractable true log-likelihood.
Usage
1 | computeAIC(model)
|
Arguments
model |
the |
Details
AIC = -2 ELBO + 2 * p
where p is the number of estimated parameters.
Value
computeAIC returns the approximate AIC value, a real number.
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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