exp2d {tgp} | R Documentation |
A 2-dimensional data set that can be used to validate non-stationary models.
data(exp2d)
A data frame
with 441 observations on the following 4 variables.
X1
X
inputsX2
X
inputsZ
Z(X)+N(0,sd=0.001)
Ztrue
Z(X)
,
without noiseThe 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
This data is used in the examples of the functions listed below in
the “See Also” section via the exp2d.rand
function
Gramacy, R. B. (2007). tgp: An R Package for Bayesian Nonstationary, Semiparametric Nonlinear Regression and Design by Treed Gaussian Process Models. Journal of Statistical Software, 19(9). http://www.jstatsoft.org/v19/i09
Gramacy, R. B., Lee, H. K. H. (2007). Bayesian treed Gaussian process models with an application to computer modeling Journal of the American Statistical Association, to appear. Also available as as ArXiv article 0710.4536 http://arxiv.org/abs/0710.4536
http://www.ams.ucsc.edu/~rbgramacy/tgp.html
exp2d.rand
, exp2d.Z
,
btgp
, and other b*
functions