smoothbp
0.2.7Hierarchical Piecewise Regression with Smoothed Change-Points
Overview
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.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-3013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-07-2912 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-1713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 6 earlier snapshots
- ERROR2026-06-1412 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-038 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-025 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
Documentation
- Examples that run
- 14%
- Documented parameters
- 98%
- Return-value docs
- 95%
- References docs
- 3%
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Repository practices
4 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/abindoff/smoothbp on 2026-08-16.
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: claude on 2026-04-29
Most recent: claude on 2026-04-29
- claude: on or before 2026-04-29 · evidence B, D
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2026-06-01
- Total releases
- 4 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.2
- Download size
- 2.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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