adapt_delta             Target average acceptance probability
as.matrix.stapreg       Extract the posterior sample via matrix
check_constant_vars     Check if any variables in a model frame are
                        constants (the exception is that a constant
                        variable of all 1's is allowed)
example_model           Example model
get_stapless_formula    get_stapless_formula
log_lik.stapreg         Pointwise log-likelihood matrix
pairs.stapreg           Pairs method for stapreg objects
plot.stapreg            Plot method for stapreg objects
posterior_interval.stapreg
                        Posterior uncertainty intervals
posterior_predict.stapreg
                        Draw from posterior predictive distribution
predictive_error        In-sample or out-of-sample predictive errors
predictive_interval.stapreg
                        Predictive intervals
print.stapreg           Print method for stapreg objects
prior_summary.stapreg   Summarize the priors used for an rstap model
priors                  Prior distributions and options
rstap-datasets          Datasets for rstap examples
rstap-package           The 'rstap' package.
stap_data               Create a stap_data object
stap_glm                Bayesian generalized spatial-temporal
                        aggregated predictor(STAP) models via Stan
stap_glm.fit            Fitting Generalized Linear STAP models
stap_glmer              Bayesian spatial-temporal generalized linear
                        models with group-specific terms via Stan
stap_termination        Spatial-Temporal Exposure
                        Termination-Maximization Estimates
stapreg                 Create a stapreg object
stapreg-methods         Methods for stapreg objects
stapreg-objects         Fitted model objects
summary.stapreg         Summary method for stapreg objects
validate_distancedata   Validate distance_data
validate_family         Check family argument
validate_newdata        Validate newsubjdata argument for
                        posterior_predict, log_lik, etc.
validate_timedata       Validate time_data
validate_weights        Check weights argument
waic.stapreg            WAIC
