mathieucarmassi/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

Package details

LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mathieucarmassi/CaliCo documentation built on Aug. 14, 2019, 11:32 a.m.