exp2d {tgp}R Documentation

2-d Exponential Data

Description

A 2-dimensional data set that can be used to validate non-stationary models.

Usage

data(exp2d)

Format

A data frame with 441 observations on the following 4 variables.

X1
Numeric vector describing the first dimension of X inputs
X2
Numeric vector describing the second dimension of X inputs
Z
Numeric vector describing the response Z(X)+N(0,sd=0.001)
Ztrue
Numeric vector describing the true response Z(X), without noise

Details

The true response is evaluated as

Z(X) = X1 * exp(-X1^2 -X2^2).

Zero-mean normal noise with sd=0.001 has been added to the true response

Note

This data is used in the examples of the functions listed below in the “See Also” section via the exp2d.rand function

Author(s)

Robert B. Gramacy rbgramacy@ams.ucsc.edu

References

Gramacy, R. B., Lee, H. K. H. (2006). Bayesian treed Gaussian process models. Available as UCSC Technical Report ams2006-01.

http://www.ams.ucsc.edu/~rbgramacy/tgp.html

See Also

exp2d.rand, exp2d.Z, btgp, and other b* functions


[Package tgp version 1.2-3 Index]