RMcovariate {RandomFields}R Documentation

Model for covariates

Description

The model makes covariates available

Usage

RMcovariate(c, x, y=NULL, z=NULL, T=NULL, grid, factor, var)
RMcovariateIntern(norm, c, x, T, grid, factor)

Arguments

c

vector or matrix of data

x,y,z,T,grid

optional. The usual arguments as in RFsimulate to define the locations where the covariates are given

factor

vector or matrix of numerical values. The length of the vector must match the given number of locations.

var

variance, i.e. factor multiplied to the data, which can be estimated through ML

norm

optional model that gives the norm between locations

Details

The functions interpolates (nearest neighbour) between the values.

RMcovariate_intern should not be used by the user.

Value

RMcovariate returns an object of class RMmodel

Author(s)

Martin Schlather, schlather@math.uni-mannheim.de

See Also

RMmodel,

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

z <- 0.2 + (1:10)
RFfctn(RMcovariate(z, 1:10), c(2, 2.1, 2.5, 3))

RFfctn(RMcovariate(z), 1:10)
[Package RandomFields version 3.0.62 Index]