logLik.UPG.MNL: Compute log-likelihoods from UPG.MNL objects

In UPG: Efficient Bayesian Algorithms for Binary and Categorical Data Regression Models

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.

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 a UPG.MNL object and create tables. plot.UPG.MNL to plot a UPG.MNL object. coef.UPG.MNL to extract coefficients from a 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, model = "mnl")

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

UPG documentation built on Nov. 4, 2023, 5:06 p.m.