Package: CaliCo
Type: Package
Title: Code Calibration in a Bayesian Framework
Version: 0.1.1
Date: 2018-07-23
Authors@R: c(person("Mathieu", "Carmassi", email = "mathieu.carmassi@gmail.com",role = c("aut", "cre")))
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: R6, ggplot2, DiceKriging, DiceDesign, MASS, coda, parallel,
        gridExtra, gtools
RoxygenNote: 6.0.1
Collate: 'functions.R' 'models.R' 'forecast.R' 'prior.R'
        'RcppExports.R' 'CaliCo-package.R' 'Kernel.R' 'calibration.R'
        'sequentialDesign.R'
LinkingTo: Rcpp, RcppArmadillo, Matrix
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-07-24 08:44:27 UTC; E69275
Author: Mathieu Carmassi [aut, cre]
Maintainer: Mathieu Carmassi <mathieu.carmassi@gmail.com>
Repository: CRAN
Date/Publication: 2018-07-24 09:00:20 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-26 23:22:02 UTC; windows
Archs: i386, x64
