Package: impala 0.1.0
J. Derek Tucker
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_0.1.0.tar.gz
impala_0.1.0.tar.gz(r-4.7-any)impala_0.1.0.tar.gz(r-4.6-any)
impala_0.1.0.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sandialabs/rimpala/issues
Last updated from:367071a221. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 295 | ||
| linux-release-x86_64 | OK | 152 | ||
| wasm-release | OK | 126 |
Exports:addVecExperimentscalibPoolCalibSetupcf_boundsevalmModelBassPca_funcModelmvBayesModelmvBayes_elasticModelmvBayes_elastic_GPModelmvBayes_GPsetMCMCsetTemperatureLaddertran_unif
Dependencies:clicrayoneinsumgluehmslifecyclemathjaxrpkgconfigprettyunitsprogressR6Rcpprlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Add vector experiments | addVecExperiments |
| Pool Calibration | calibPool |
| Pooled Bayesian Model Calibration | CalibSetup |
| Compare to bounds | cf_bounds |
| evalm constructor | evalm |
| PCA Based Model Emulator using BASS | ModelBassPca_func |
| mvBayes Emulator for Functional Outputs (can use different BASS/BPPR type emulators) | ModelmvBayes |
| mvBayes elastic Emulator for Functional Outputs (can use different BASS/BPPR type emulators) | ModelmvBayes_elastic |
| mvBayes elastic Emulator for Functional Outputs (can use different BASS/BPPR type emulators) | ModelmvBayes_elastic_GP |
| mvBayes Emulator for Functional Outputs (GP) | ModelmvBayes_GP |
| Set MCMC Parameters | setMCMC |
| Set Temperature Ladder | setTemperatureLadder |
| Transform parameters | tran_unif |
