NEWS.md

In RprobitB: Bayesian Probit Choice Modeling

RprobitB 1.1.2

• 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.

RprobitB 1.1.1

• Small documentation fixes.

RprobitB 1.1.0

New functionality

• Ranked probit models

• Ordered probit models

Updated functionality

• 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().

Renamed functions

• 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().

RprobitB 1.0.0

• Integrated S3 classes and methods.

• Several new functionalities.

RprobitB 0.1.0

• Initial version.

RprobitB documentation built on Nov. 10, 2022, 5:12 p.m.