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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:1dc07f46cc. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 14 2024 |
| R-4.5-linux | NOTE | Dec 14 2024 |
Exports:calibrategetrangesgp.realizemakedistlistscaledesignunscalemat
Dependencies:
