Bayesian Probit Choice Modeling


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Documentation for package ‘RprobitB’ version 2.0.0

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as_draws.RprobitB_fit Convert a fitted model to posterior draws
bayes_factor Compare models with a Bayes factor
class_updates Update latent classes
coef.RprobitB_fit Extract posterior coefficient summaries
coefficient_updates Update coefficient distributions
confint.RprobitB_fit Compute posterior credible intervals
d_to_gamma Update utilities and thresholds
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
log_likelihood_ordered Update utilities and thresholds
loo Compute approximate leave-one-out cross-validation
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.RprobitB_interpretation Interpret the estimates of a fitted choice model
print.summary.RprobitB_fit Print a fitted model summary
residuals.RprobitB_fit Extract choice residuals
sample_allocation Update latent classes
summary.RprobitB_fit Summarize a fitted choice model
update.RprobitB_fit Update and refit a choice model
update_b Update coefficient distributions
update_b_c Update coefficient distributions
update_classes_dp Update latent classes
update_classes_wb Update latent classes
update_coefficient Update coefficient distributions
update_d Update utilities and thresholds
update_m Update latent classes
update_Omega Update coefficient distributions
update_Omega_c Update coefficient distributions
update_s Update latent classes
update_Sigma Update utilities and thresholds
update_U Update utilities and thresholds
update_U_ranked Update utilities and thresholds
update_z Update latent classes
utility_updates Update utilities and thresholds
vcov.RprobitB_fit Extract the posterior covariance matrix
WAIC Compute the widely applicable information criterion