| logLik.UPG.Logit {UPG} | R Documentation |
Compute log-likelihoods from UPG.Logit objects
Description
logLik can be used to compute log-likelihoods from UPG.Logit objects. The log-likelihood is based on the posterior mean of the coefficients.
Usage
## S3 method for class 'UPG.Logit'
logLik(object = NULL, ...)
Arguments
object |
an object of class |
... |
other logLik parameters. |
Value
Returns a numeric of class logLik with attributes containing the number of estimated parameters and the number of observations.
Author(s)
Gregor Zens
See Also
summary.UPG.Logit to summarize a UPG.Logit object and create tables.
plot.UPG.Logit to plot a UPG.Logit object.
coef.UPG.Logit to extract coefficients from a UPG.Logit object.
Examples
# estimate a logit model using example data
library(UPG)
data(lfp)
y = lfp[,1]
X = lfp[,-1]
results.logit = UPG(y = y, X = X, model = "logit")
# extract log-likelihood
ll.logit = logLik(results.logit)
[Package UPG version 0.3.4 Index]