GBASS
2.0.1Generalized Bayesian Adaptive Smoothing Splines
Overview
Bayesian nonlinear regression under a range of likelihood models using generalized Bayesian adaptive smoothing splines. Robust regression with Student's t likelihoods, quantile regression, and related latent-scale models are included as special cases.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-255 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 87%
- Return-value docs
- 100%
- References docs
- 6%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 2.0.1Latest2026-04-25 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-04-25
- Total releases
- 1 / 1 yrs
- License
- BSD_3_clause + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 107 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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