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
Impala R package
R library for modular Bayesian model calibration. Posterior exploration includes tempering and adaptive MCMC.
Python tools for modular Bayesian model calibration. Posterior exploration includes tempering and adaptive MCMC. This is an R translation of LANLs Impala.
Installation
v0.1.3 is on CRAN and can be installed as
install.packages("impala")`
For a more up to date, but may not be stable version from git repository.
- Download zip or tar.gz of package or clone repository
- Install into R (> 4.3.0)
library(devtools)
install_github("sandialabs/rImpala")