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>.

Version:	0.1.0
Imports:	cli, methods, progress, einsum
Suggests:	fdasrvf, BASS, BayesPPR, mvBayes, coda, bayesplot, gridExtra, hexbin, knitr, rmarkdown
Published:	2026-06-19
DOI:	10.32614/CRAN.package.impala (may not be active yet)
Author:	J. Derek Tucker [aut, cre], Sandia National Laboratories [cph, fnd]
Maintainer:	J. Derek Tucker <jdtuck at sandia.gov>
BugReports:	https://github.com/sandialabs/rImpala/issues
License:	MIT + file LICENSE
URL:	https://github.com/sandialabs/rImpala
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	impala results

Documentation:

Reference manual:	impala.html , impala.pdf
Vignettes:	example (source, R code)

Downloads:

Package source:	impala_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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