| CaliCo-package | Bayesian calibration for computational codes |
| calibrate | Generates 'calibrate.class' objects |
| calibrate.class | A Reference Class to generates differents 'calibrate.class' objects |
| CaliCo | Bayesian calibration for computational codes |
| DefPos | Function that deals with negative eigen values in a matrix not positive definite |
| Kernel.class | A Reference Class to generates differents model objects |
| kernel.fun | Generates covariances matrices thanks to 'Kernel.class' |
| MetropolisHastingsCpp | C++ implementation of the algorithm for parameter calibration (without discrepancy) |
| MetropolisHastingsCppD | C++ implementation of the algorithm for parameter calibration (with discrepancy) |
| model | Generates 'model.class' objects. |
| model.class | A Reference Class to generates differents model objects |
| multivariate | Simulate from a Multivariate Normal Distribution |
| prediction | Generates 'prediction.class' objects |
| prediction.class | A Reference Class to generates differents 'prediction.class' objects |
| prior | Generates 'prior.class' objects. |
| prior.class | A Reference Class to generates differents 'prior.class' objects |
| unscale | Function which unscale un matrix or a vector |
| unscale.matrix.diag | Funcion which unscale only the diagonal component of a matrix |
| unscale.vector | Function which unscale a vector between two bounds |