https://github.com/cran/fields
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Tip revision: 1e85525d7f4e727af643137ca8803bae3be1dd6d authored by Douglas Nychka on 16 May 2014, 16:10:31 UTC
version 7.1
Tip revision: 1e85525
Krig.se.test.Rout.save

R version 3.1.0 (2014-04-10) -- "Spring Dance"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin10.8.0 (64-bit)

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> # fields, Tools for spatial data
> # Copyright 2004-2011, Institute for Mathematics Applied Geosciences
> # University Corporation for Atmospheric Research
> # Licensed under the GPL -- www.gpl.org/licenses/gpl.html
> 
> 
> library( fields)
Loading required package: spam
Loading required package: grid
Spam version 0.41-0 (2014-02-26) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps
> 
> # tests of predictSE
> # against direct linear algebra 
> 
> options( echo=FALSE)
testing:  Amatrix vs. predict
    PASSED test at tolerance  1e-08
testing:  Marginal predictSE
    PASSED test at tolerance  1e-08
testing:  Marginal predictSE fixed 
    PASSED test at tolerance  1e-08
testing:  Full covariance predictSE
    PASSED test at tolerance  1e-08
testing:  Marginal standard Cond. Sim.
    PASSED test at tolerance  0.015
testing:  Full covariance standard Cond. Sim.
    PASSED test at tolerance  0.02
Warning messages:
1: In Krig.find.gcvmin(info, lambda.grid, gcv.grid$GCV.one, Krig.fgcv.one,  :
  GCV search gives a minimum at the endpoints of the
grid search
2: In gcv.Krig(out, nstep.cv = nstep.cv, verbose = verbose, cost = out$cost,  :
  Value of pure error estimate  is outside possible range
testing:  Amatrix vs. predict
    PASSED test at tolerance  1e-08
testing:  Weighted case and exact for ozone2 full 
cov
    PASSED test at tolerance  1e-08
all done testing predictSE 
> 
> proc.time()
   user  system elapsed 
  6.784   0.036   6.811 
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