Man pages for smoothbp
Hierarchical Piecewise Regression with Smoothed Change-Points
| 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... |
| log_lik | Pointwise log-likelihood matrix |
| model_methods | Generate a statistical methods description for a smoothbp_fit... |
| model_results | Report the results of a smoothbp_fit object |
| 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... |
| prior_spike_slab | Specify a spike-and-slab prior for variable selection |
| recovery_plot | Parameter recovery plot |
| reexports | Objects exported from other packages |
| robustify | Robustify a smoothbp_fit object using a Bayesian Sandwich... |
| round_df | Round numeric columns in a data frame |
| simulate_smoothbp | Simulate data from the smooth change-point model |
| smoothbp | Fit a hierarchical piecewise regression model with smoothed... |
| smoothbp_priors | Collect priors for all model parameters |
| smoothbp_ss | Fit a smooth change-point model with spike-and-slab variable... |
| 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 |
