SVCdata | R Documentation |

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.

SVCdata

A `list`

with the following entries:

- y
(

`numeric`

) Response- X
(

`numeric`

) Covariates; first columns contains ones to model an intercept, the second column contains standard-normal sampled data.- beta
(

`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'.- eps
(

`numeric`

) Error (or Nugget effect), i.e., drawn from a zero-mean normal distribution with 0.5 standard deviation.- locs
(

`numeric`

) Locations sampled from a uniform distribution on the interval 0 to 10.- true_pars
(

`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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