# Generated by roxygen2: do not edit by hand

S3method(as_draws,RprobitB_fit)
S3method(coef,RprobitB_fit)
S3method(confint,RprobitB_fit)
S3method(formula,RprobitB_fit)
S3method(logLik,RprobitB_fit)
S3method(loo,RprobitB_fit)
S3method(model.frame,RprobitB_fit)
S3method(nobs,RprobitB_fit)
S3method(plot,RprobitB_fit)
S3method(predict,RprobitB_fit)
S3method(print,RprobitB_fit)
S3method(print,RprobitB_interpretation)
S3method(print,summary.RprobitB_fit)
S3method(residuals,RprobitB_fit)
S3method(summary,RprobitB_fit)
S3method(update,RprobitB_fit)
S3method(vcov,RprobitB_fit)
export(WAIC)
export(bayes_factor)
export(d_to_gamma)
export(fit)
export(interpret)
export(latent_class_diagnostics)
export(log_likelihood_ordered)
export(loo)
export(sample_allocation)
export(train_test)
export(update_Omega)
export(update_Omega_c)
export(update_Sigma)
export(update_U)
export(update_U_ranked)
export(update_b)
export(update_b_c)
export(update_classes_dp)
export(update_classes_wb)
export(update_coefficient)
export(update_d)
export(update_m)
export(update_s)
export(update_z)
importFrom(Rcpp,sourceCpp)
importFrom(Rdpack,reprompt)
importFrom(choicedata,
  choice_data,
  train_test
)
importFrom(loo,loo)
importFrom(posterior,as_draws)
importFrom(stats,
  coef,
  confint,
  formula,
  logLik,
  model.frame,
  nobs,
  predict,
  residuals,
  update,
  vcov
)
useDynLib(RprobitB, .registration=TRUE)
