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.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Matrix, GIGrvg, BASS |
| Suggests: | knitr, rmarkdown, lhs, testthat (≥ 2.1.0) |
| Published: | 2026-04-24 |
| DOI: | 10.32614/CRAN.package.GBASS |
| Author: | Kellin Rumsey [aut, cre] |
| Maintainer: | Kellin Rumsey <knrumsey at lanl.gov> |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | GBASS results |
| Reference manual: | GBASS.html , GBASS.pdf |
| Package source: | GBASS_2.0.1.tar.gz |
| Windows binaries: | r-devel: GBASS_2.0.1.zip, r-release: GBASS_2.0.1.zip, r-oldrel: GBASS_2.0.1.zip |
| macOS binaries: | r-release (arm64): GBASS_2.0.1.tgz, r-oldrel (arm64): GBASS_2.0.1.tgz, r-release (x86_64): GBASS_2.0.1.tgz, r-oldrel (x86_64): GBASS_2.0.1.tgz |
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