Package: cmce 0.1.0

Matthew T. Pratola

cmce: Computer Model Calibration for Deterministic and Stochastic Simulators

Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) <doi:10.5705/ss.202016.0403> for stochastic and deterministic simulators. Additive and multiplicative discrepancy models are currently supported. See <http://www.matthewpratola.com/software> for more information and examples.

Authors:Matthew T. Pratola <[email protected]> [aut, cre, cph]

cmce_0.1.0.tar.gz
cmce_0.1.0.tar.gz(r-4.5-noble)cmce_0.1.0.tar.gz(r-4.4-noble)
cmce_0.1.0.tgz(r-4.4-emscripten)cmce_0.1.0.tgz(r-4.3-emscripten)
cmce.pdf |cmce.html
cmce/json (API)

# Install 'cmce' in R:
install.packages('cmce', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 0 dependencies 13 scripts 185 downloads

Last updated 6 years agofrom:1dc07f46cc. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-linuxNOTESep 15 2024

Exports:calibrategetrangesgp.realizemakedistlistscaledesignunscalemat

Dependencies: