logLik.UPG.MNL {UPG}R Documentation

Compute log-likelihoods from UPG.MNL objects

Description

logLik can be used to compute log-likelihoods from UPG.MNL objects. The log-likelihood is based on the posterior mean of the coefficients and can be used for model selection when combined with,e.g., BIC or other model selection criteria.

Usage

## S3 method for class 'UPG.MNL'
logLik(object = NULL, ...)

Arguments

object

an object of class UPG.MNL.

...

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.MNL to summarize the estimates of a discrete choice model from an UPG.MNL object and create tables. plot.UPG.MNL to plot the results of a discrete choice model from an UPG.MNL object. coef.UPG.MNL to extract coefficients from an UPG.MNL object.

Examples


# estimate a multinomial logit model using example data
library(UPG)
data(program)
y = program[,1]
X = program[,-1]
results.mnl = UPG(y = y, X = X, type = "mnl")

# extract log-likelihood
ll.mnl = logLik(results.mnl)

# compute BIC
BIC(ll.mnl)


[Package UPG version 0.2.2 Index]