Extract the fitted log-likelihood — logLik.RprobitB

Evaluates the decider-level log-likelihood at the posterior mean parameters.

Usage

# S3 method for class 'RprobitB_fit'
logLik(object, ghk_draws = 500L, ...)

Arguments

object: [RprobitB_fit]
Fitted choice model.
ghk_draws: [integer(1)]
Number of draws of the GHK simulator for multivariate normal probabilities of more than three dimensions, see oeli::pmvnorm().
...: Currently not used.

Value

A scalar object of class logLik. The df attribute counts the free population-level parameters after normalization, and nobs is the number of independent likelihood units as counted by nobs().

Examples

set.seed(1)
model <- fit(
  choice ~ x | 0, dgp_parameters = list(beta = c(x = 1)), chains = 1
)
logLik(model)
#> 'log Lik.' -36.04087 (df=1)