SVCdata: Sampled SVC Data

In varycoef: Modeling Spatially Varying Coefficients

Sampled SVC Data

Description

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.

Usage

SVCdata

Format

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.

References

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

varycoef documentation built on Sept. 18, 2022, 1:07 a.m.