summary.blca {BayesLCA} | R Documentation |
Summary method for class "blca".
## S3 method for class 'blca'
summary(object, ...)
object |
Object of class |
... |
Additional arguments to be passed onto lower-level functions at a later stage of development. |
A brief summary consisting of two parts: the prior values specified to the model, and model diagnostics specific to the inference method used, such as information about the log-posterior (or lower bound in the case of blca.vb
), as well the number of iterations the algorithm ran for, etc..
Arthur White
data(Alzheimer)
summary(blca.em(Alzheimer, 2))
summary(blca.vb(Alzheimer, 2, alpha=2, beta=2, delta=0.5))
## Not run: (fit.gibbs)<- blca.gibbs(Alzheimer, 2, delta=2)
## Not run: summary(fit.gibbs)