smoothbp: Hierarchical Piecewise Regression with Smoothed Change-Points
Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.2) |
| Imports: | posterior, ggplot2, stats, bridgesampling, loo, bayesplot |
| Suggests: | testthat (≥ 3.0.0), withr, knitr, rmarkdown, brms, mcp, dplyr, gt, tidyr, scales, rjags |
| Published: | 2026-06-01 |
| DOI: | 10.32614/CRAN.package.smoothbp (may not be active yet) |
| Author: | Aidan D Bindoff 
[aut, cre] |
| Maintainer: | Aidan D Bindoff <aidan.bindoff at utas.edu.au> |
| BugReports: | https://github.com/ABindoff/smoothbp/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ABindoff/smoothbp |
| NeedsCompilation: | yes |
| SystemRequirements: | Cargo (Rust's package manager), rustc >= 1.65.0 |
| Materials: | README, NEWS |
| CRAN checks: | smoothbp results |
Documentation:
Downloads:
| Package source: | smoothbp_0.2.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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