Description Usage Arguments Details Author(s) See Also Examples
Takes a rlda
object produced and provides the log-likelihood.
1 2 |
object |
a |
... |
other arguments may be useful. |
Get the log-likelihood of the model.
Pedro Albuquerque.
pedroa@unb.br
http://pedrounb.blogspot.com/
Denis Valle.
drvalle@ufl.edu
http://denisvalle.weebly.com/
Daijiang Li.
daijianglee@gmail.com
rlda.binomial
, rlda.bernoulli
,rlda.multinomial
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## Not run:
library(Rlda)
#Load data
data(presence)
#Set seed
set.seed(9842)
#Hyperparameters for each prior distribution
gamma <-0.01
alpha0<-0.01
alpha1<-0.01
#Execute the LDA for the Binomial entry
res<-rlda.bernoulli(presence, 10, alpha0, alpha1, gamma,
5000, TRUE, FALSE)
#log-likelihood
logLik(res)
## End(Not run)
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