as.data.frame.smoothbp_fit
                        Convert draws to a data frame
bayes_factor.smoothbp_fit
                        Bayes Factor for smoothbp_fit
bridge_sampler.smoothbp_fit
                        Bridge Sampler for smoothbp_fit
fitted.smoothbp_fit     Fitted values for smoothbp_fit objects
fixed                   Fix a parameter at a specific value
hypothesis              Test hypotheses and compute evidence ratios
                        from posterior draws
log_lik                 Pointwise log-likelihood matrix
pip                     Posterior inclusion probabilities from a
                        spike-and-slab fit
plot.smoothbp_fit       Trace and density plots for a smoothbp_fit
plot.smoothbp_pip       Plot posterior inclusion probabilities
print.smoothbp_fit      Print a smoothbp_fit
prior_gamma             Specify a gamma prior for a parameter
prior_invgamma          Specify an inverse-gamma prior for a variance
                        component
prior_normal            Specify a normal (or truncated normal) prior
                        for a regression coefficient
prior_spike_slab        Specify a spike-and-slab prior for variable
                        selection
recovery_plot           Parameter recovery plot
robustify               Robustify a smoothbp_fit object using a
                        Bayesian Sandwich approach
simulate_smoothbp       Simulate data from the smooth change-point
                        model
smoothbp                Fit a hierarchical piecewise regression model
                        with smoothed change-points
smoothbp_priors         Collect priors for all model parameters
smoothbp_ss             Fit a smooth change-point model with
                        spike-and-slab variable selection
space_omega_priors      Generate evenly spaced priors for candidate
                        breakpoints
summary.smoothbp_fit    Summarise a smoothbp_fit
summary.smoothbp_ss_fit
                        Summarise a smoothbp_ss_fit
tab_smoothbp            Fixed-effects table for smoothbp_fit objects
trace_plot              Trace plots with automatic poor-mixing
                        highlighting
true_params             Print true parameters from a simulated dataset
update.smoothbp_fit     Update a fitted smoothbp model
