Man pages for RprobitB
Bayesian Probit Choice Modeling
| as_draws.RprobitB_fit | Convert a fitted model to posterior draws |
| bayes_factor | Compare models with a Bayes factor |
| class_updates | Update latent classes |
| coefficient_updates | Update coefficient distributions |
| coef.RprobitB_fit | Extract posterior coefficient summaries |
| confint.RprobitB_fit | Compute posterior credible intervals |
| fit | Fit a Bayesian probit choice model |
| formula.RprobitB_fit | Extract the fitted formula |
| interpret | Interpret the estimates of a fitted choice model |
| latent_class_diagnostics | Diagnose latent-class occupancy and membership |
| logLik.RprobitB_fit | Extract the fitted log-likelihood |
| loo.RprobitB_fit | Compute approximate leave-one-out cross-validation |
| model.frame.RprobitB_fit | Extract the fitted data |
| nobs.RprobitB_fit | Count independent likelihood units |
| plot.RprobitB_fit | Plot posterior draws |
| predict.RprobitB_fit | Predict choices |
| print.RprobitB_fit | Print a fitted choice model |
| print.summary.RprobitB_fit | Print a fitted model summary |
| reexports | Objects exported from other packages |
| residuals.RprobitB_fit | Extract choice residuals |
| RprobitB-package | RprobitB: Bayesian probit choice modeling |
| summary.RprobitB_fit | Summarize a fitted choice model |
| update.RprobitB_fit | Update and refit a choice model |
| utility_updates | Update utilities and thresholds |
| vcov.RprobitB_fit | Extract the posterior covariance matrix |
| WAIC | Compute the widely applicable information criterion |
