A list object that contains sampled data of 500 observations. The data has
been sampled using the
RandomFields package (Schlather et al., 2015).
It is given in the list object
SVCdata which contains the following.
list with the following entries:
numeric) Covariates; first columns contains ones to model
an intercept, the second column contains standard-normal sampled data.
numeric) The sampled Gaussian processes, which are
usually unobserved. It uses a Matern covariance function and the true
parameters are given in the entry 'true_pars'.
numeric) Error (or Nugget effect), i.e., drawn from a
zero-mean normal distribution with 0.5 standard deviation.
numeric) Locations sampled from a uniform distribution
on the interval 0 to 10.
data.frame) True parameters of the GP-based SVC
model with Gaussian process mean, variance, and range. Additionally, the
smoothness (nu) is given.
Schlather, M., Malinowski, A., Menck, P. J., Oesting, M., Strokorb, K. (2015) Analysis, simulation and prediction of multivariate random fields with package RandomFields, Journal of Statistical Software, doi: 10.18637/jss.v063.i08
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