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

Maintainer
LicenseGPL (>= 2)
Version0.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mathieucarmassi/CaliCo")
mathieucarmassi/CaliCo documentation built on Sept. 29, 2018, 9:08 a.m.