khaos: Bayesian Sparse Polynomial Chaos Expansion
Implements Bayesian polynomial chaos expansion methods for surrogate modeling, uncertainty quantification, and sensitivity analysis. Includes sparse regression-based approaches and adaptive Bayesian models based on reversible-jump Markov chain Monte Carlo. Optional screening and basis-enrichment strategies are provided to improve scalability in moderate to high dimensions.
| Version: | 2.1.1 |
| Imports: | glmnet, mvtnorm |
| Suggests: | knitr, rmarkdown, lhs, testthat (≥ 2.1.0) |
| Published: | 2026-04-23 |
| DOI: | 10.32614/CRAN.package.khaos (may not be active yet) |
| Author: | Kellin Rumsey 
[aut, cre],
J. Derek Tucker
[ctb] |
| Maintainer: | Kellin Rumsey <knrumsey at lanl.gov> |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | khaos results |
Documentation:
| Reference manual: | khaos.html , khaos.pdf |
Downloads:
| Package source: | khaos_2.1.1.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): khaos_2.1.1.tgz, r-oldrel (x86_64): not available |
Linking:
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