Package: impala 0.1.4.9000

impala: Bayesian Model Calibration
Package provides tools for modular Bayesian model calibration. these tools allow for posterior exploration with sampling methods including tempering and adaptive Markov Chain Monte Carlo (MCMC). Allows for pooled calibration or hierarchal calibration of parameters. For more information see Francom et al., 2025 <doi:10.1137/24M1644092>.
Authors:
impala_0.1.4.9000.tar.gz
impala_0.1.4.9000.zip(r-4.7-any)impala_0.1.4.9000.zip(r-4.6-any)impala_0.1.4.9000.zip(r-4.5-any)
impala_0.1.4.9000.tgz(r-4.6-any)impala_0.1.4.9000.tgz(r-4.5-any)
impala_0.1.4.9000.tar.gz(r-4.7-any)impala_0.1.4.9000.tar.gz(r-4.6-any)
impala_0.1.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
impala/json (API)
| # Install 'impala' in R: |
| install.packages('impala', repos = c('https://sandialabs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sandialabs/rimpala/issues
Last updated from:d76251149d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 340 | ||
| source / vignettes | OK | 288 | ||
| linux-release | OK | 379 | ||
| macos-release | OK | 304 | ||
| macos-oldrel | OK | 261 | ||
| windows-devel | OK | 371 | ||
| windows-release | OK | 306 | ||
| windows-oldrel | OK | 300 | ||
| wasm-release | OK | 136 |
Exports:addJointThetaPrioraddThetaPrioraddVecExperimentscalibPoolCalibSetupcf_boundsdiscrep_sampleevalmfixThetagen_candlik_cov_invllikModelBassPca_funcModelmvBayesModelmvBayes_elasticModelmvBayes_elastic_GPModelmvBayes_GPsetMCMCsetTemperatureLadderstep_mtran_unifunfixThetaupdate_mupdate_tau
Dependencies:clicrayoneinsumgluehmslifecyclemathjaxrpkgconfigprettyunitsprogressR6Rcpprlangvctrs
