Package: khaos 2.1.1

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.

Authors:Kellin Rumsey [aut, cre], J. Derek Tucker [ctb]

khaos_2.1.1.tar.gz
khaos_2.1.1.zip(r-4.7-any)khaos_2.1.1.zip(r-4.6-any)khaos_2.1.1.zip(r-4.5-any)
khaos_2.1.1.tgz(r-4.6-any)khaos_2.1.1.tgz(r-4.5-any)
khaos_2.1.1.tar.gz(r-4.7-any)khaos_2.1.1.tar.gz(r-4.6-any)
khaos_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
khaos/json (API)

# Install 'khaos' in R:
install.packages('khaos', repos = c('https://knrumsey-lanl.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 290 downloads 7 exports 11 dependencies

Last updated from:fc655dffb8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK175
linux-releaseOK143
macos-releaseOK134
macos-oldrelOK93
windows-develOK84
windows-releaseOK63
windows-oldrelOK80
wasm-releaseOK130

Exports:adaptive_khaosadaptive_khaos_gprioradaptive_khaos_ridgeadaptive_khaos2ordinal_khaossobol_khaossparse_khaos

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixmvtnormRcppRcppEigenshapesurvival