mathieucarmassi/CaliCo: Code calibration in a Bayesian framework
Version 0.1.0

This package allows the user to calibrate every computational code. It uses a Bayesian framework to run the esimation. 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.

Getting started

Package details

Author[email protected]: as.person(c( "Mathieu Carmassi <[email protected]> [aut, cre]"))
MaintainerMathieu Carmassi <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
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 Jan. 9, 2018, 10:46 p.m.