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 ORCID iD [aut, cre], J. Derek Tucker ORCID iD [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-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): khaos_2.1.1.tgz, r-oldrel (arm64): khaos_2.1.1.tgz, r-release (x86_64): khaos_2.1.1.tgz, r-oldrel (x86_64): khaos_2.1.1.tgz

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