mathieucarmassi/calibrationcode: 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>.

install.packages("remotes")
remotes::install_github("mathieucarmassi/calibrationcode")