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CaliCo: Code Calibration in a Bayesian Framework
Calibration of every computational code. It uses a Bayesian framework to rule the estimation. With a new data set, the prediction will create a prevision set taking into account the new calibrated parameters. The choices between several models is also available. The methods are described in the paper Carmassi et al. (2018) <arXiv:1801.01810>.
Getting started
Browse package contents
Package details |
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| Author | Mathieu Carmassi [aut, cre] |
| Maintainer | Mathieu Carmassi <mathieu.carmassi@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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