summary.smoothbp_ss_fit: Summarise a smoothbp_ss_fit

In smoothbp: Hierarchical Piecewise Regression with Smoothed Change-Points

Summarise a smoothbp_ss_fit

Description

Returns a data frame of posterior summaries for selected parameters.

Usage

## S3 method for class 'smoothbp_ss_fit'
summary(object, effects = "all", digits = 3, ...)

Arguments

object	A smoothbp_ss_fit object.
effects	Character vector controlling which parameters are included. Accepted values: "fixed" Population-level regression coefficients (b0, b1, b2, \omega, \rho), residual SD, and spike-and-slab indicator variables (\gamma). "ran_pars" Random-effect variance parameter \sigma_u. "ran_vals" Individual group-level deviations u_j. "all" All of the above (default).
digits	Number of decimal places. Default 3.
...	Unused.

Value

A data frame with one row per selected parameter and columns variable, mean, sd, Q2.5, Q97.5, rhat, ess_bulk, ess_tail. For gamma (spike-and-slab) parameters, the mean column contains the posterior inclusion probability (PIP).

smoothbp documentation built on June 14, 2026, 9:06 a.m.