Package: impala 0.1.1

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:J. Derek Tucker [aut, cre], Sandia National Laboratories [cph, fnd]

impala_0.1.1.tar.gz
impala_0.1.1.zip(r-4.7)impala_0.1.1.zip(r-4.6)impala_0.1.1.zip(r-4.5)
impala_0.1.1.tgz(r-4.6-any)impala_0.1.1.tgz(r-4.5-any)
impala_0.1.1.tar.gz(r-4.7-any)impala_0.1.1.tar.gz(r-4.6-any)
impala_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
impala/json (API)
NEWS

# 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

On CRAN:

Conda:

scr-3216snl-data-analysis

5.50 score 1 stars 70 scripts 13 exports 14 dependencies

Last updated from:4734fac5bc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK294
linux-release-x86_64OK157
macos-release-arm64OK132
macos-oldrel-arm64OK153
windows-develOK109
windows-releaseOK88
windows-oldrelOK98
wasm-releaseOK129

Exports:addVecExperimentscalibPoolCalibSetupcf_boundsevalmModelBassPca_funcModelmvBayesModelmvBayes_elasticModelmvBayes_elastic_GPModelmvBayes_GPsetMCMCsetTemperatureLaddertran_unif

Dependencies:clicrayoneinsumgluehmslifecyclemathjaxrpkgconfigprettyunitsprogressR6Rcpprlangvctrs

EFMBC Exmaple

Rendered fromexample.Rmdusingknitr::rmarkdownon Jun 20 2026.

Last update: 2026-05-06
Started: 2026-05-06