Bayesian model comparisons.
Bayesian model comparisons, including WAIC, LOO, and Bayes factor approximation.
blavCompare(object1, object2, ...)
object1 |
An object of class |
object2 |
A second object of class |
... |
Other arguments (unused for now). |
This function approximates the log-Bayes factor of two candidate models using the Laplace approximation to each model's marginal log-likelihood.
The log-Bayes factor approximation, along with each model's approximate marginal log-likelihood.
Raftery, A. E. (1993). Bayesian model selection in structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 163-180). Beverly Hills, CA: Sage.
## Not run:
hsm1 <- ' visual =~ x1 + x2 + x3 + x4
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit1 <- bcfa(hsm1, data=HolzingerSwineford1939)
hsm2 <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6 + x7
speed =~ x7 + x8 + x9 '
fit2 <- bcfa(hsm2, data=HolzingerSwineford1939)
blavCompare(fit1, fit2)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.