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SAVE (version 0.9.3.3)

This package implements the SAVE approach for Computer Models

Description

The SAVE package implements statistical methodology for the analysis of complex computer models. Namely, it allows for the emulation, calibration, and validation of computer models, following methodology described in Bayarri et al 2007, Technometrics.

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Version

Install

install.packages('SAVE')

Monthly Downloads

3

Version

0.9.3.3

License

GPL (>= 2)

Maintainer

Jesus Palomo

Last Published

April 9th, 2013

Functions in SAVE (0.9.3.3)

predictreality

Predicting values of reality at new input points
normal,uniform

Auxiliary functions.
predictcode

Predict values of the computer model at new input points
plot.SAVE

A function for plotting summaries of an object of class SAVE after the function bayesfit has been run.
bayesfit.SAVE

Bayesian methods for the analysis of a computer model
SAVE

Functions to start the Statistical Analysis and Validation Engine of a computer model and corresponding exploration of results
SAVE-class

SAVE class
SAVE-package

Simulator Analysis and Validation Engine
plot.predictreality.SAVE

A function for plotting summaries of an object of class predictreality.SAVE.
validate.SAVE

Validation of a computer model
Spotweld

Spotweld data
Synthetic

Synthetic data