UPG (version 0.3.4)

logLik.UPG.Logit: 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 UPG.Logit
logLik(object = NULL, ...)

Value

Returns a numeric of class logLik with attributes containing the number of estimated parameters and the number of observations.

Arguments

object

an object of class UPG.Logit.

...

other logLik parameters.

Author

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

# \donttest{
# 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)

# }