A function to create observations using known parameters and hyperparameters
Usage
obs_maker(x, hp, LoF, beta, Sigma=NULL, ...)
Arguments
x
Object of class mdm: each row is a point in parameter space
hp
Object of class mhp
LoF
List of functions
beta
Vector of regression coefficients
Sigma
Variance matrix, with default NULL meaning to use
var.matrix(x,hp)
...
Further arguments passed to var.matrix()
Value
Returns a (named) vector of observations. Note that the observations
may have different units (eg temperature in Kelvin, rainfall in
millimeters per year).
Details
Uses the mvtnorm package to generate observations directly from
the parameters and hyperparameters as a Gaussian process.