\name{parampositions} \alias{parampositions} \title{Position of the parameters} \description{ The function returns the internal positions of the model parameters } \usage{ parampositions(model, param, print=TRUE) } \arguments{ \item{model}{see \command{\link{CovarianceFct}}} \item{param}{see \command{\link{CovarianceFct}}} \item{print}{if \code{FALSE} only an invisible list is returned} } \value{ The model is printed and returned where the values of the parameters are the positions in the internal representation. An error appears if the model can be substantially simplified. } \author{Martin Schlather, \email{schlath@hsu-hh.de} \url{http://www.unibw-hamburg.de/WWEB/math/schlath/schlather.html}} \seealso{ \command{\link{CovarianceFct}}, \command{\link{fitvario}} } \examples{ parampositions(model="exp", param=c(0,1,0,NA)) ## that is, the nugget in the standard model is removed if naught! ## the values of the other parameters do not matter. parampositions(model="exp", param=c(0,1,NA,NA)) parampositions(model="exp", param=c(0,0,1,NA)) parampositions(model="whi", param=cbind(c(1, 1, 1), c(2, 2, 2))) parampositions(model="whi", param=cbind(c(1, 1, 1), c(2, 0, 2))) ## second lines, second column defines a nugget effect since scale is 0! try(parampositions(model="whi", param=cbind(c(1, 1, 1), c(0, 0, 0)))) ## leads to an error try(parampositions(model="whi", param=cbind(c(1, 1, 1), c(2, 0, 0), c(1, 0, 0)))) ## leads to an error try(parampositions(model="whi", param=cbind(c(1, 1, 1), c(NA, 0, 0), c(1, 0, 0)))) ## leads to an error parampositions(model=list(list(model="exp", var=3, scale=6), "+", list(model="whittle", var=2, scale=7, kappa=NA))) ## again the values do not matter } \keyword{ spatial }%-- one or more ...