Nothing
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>.
Package details 


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:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.