Bayesian Sparse Polynomial Chaos Expansion R package khaos version 2.1.1 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. Software Imports: glmnet, mvtnorm Suggests: knitr, rmarkdown, lhs, testthat (>= 2.1.0) Kellin Rumsey <knrumsey@lanl.gov> Comprehensive R Archive Network (CRAN) Kellin Rumsey [aut, cre] (ORCID: <https://orcid.org/0000-0002-2989-965X>), J. Derek Tucker [ctb] (ORCID: <https://orcid.org/0000-0001-8844-2169>) BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=khaos/LICENSE) 2026-04-23 application/tgz https://CRAN.R-project.org/package=khaos doi:10.32614/CRAN.package.khaos