`logLik()`

method now returns a`logLik`

object that can be passed to`AIC()`

and`BIC()`

methods from {stats}.- Small bug fixes for the ordered probit model case.

- Small documentation fixes.

Ranked probit models

Ordered probit models

Print method for

`RprobitB_parameter`

.Splitting the data set into a train and test part can now be done by the function

`train_test()`

. Consequently, the argument`test_prob`

was removed in`prepare_data()`

and`simulate_choices()`

.The function

`simulate_choices()`

does not have the argument`distr`

anymore. Instead, covariates can be supplied via the`covariates`

argument. Consequently, the argument`standardize`

was removed as well.Simplified specifying the utility

`scale`

, see the help page of`RprobitB_normalization()`

.

The function

`compare`

is now called`model_selection()`

.The function

`prepare`

is now called`prepare_data()`

.The function

`simulate`

is now called`simulate_choices()`

to not mask`stats::simulate()`

.The function

`mcmc`

is now called`fit_model()`

.The function

`choice_probs`

is now called`choice_probabilities()`

.

Integrated S3 classes and methods.

Several new functionalities.

- Initial version.