CRAN Package Check Results for Package RandomFields

Last updated on 2014-09-21 17:47:46.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.0.35 20.87 80.95 101.82 ERROR
r-devel-linux-x86_64-debian-gcc 3.0.35 28.29 79.50 107.78 ERROR
r-devel-linux-x86_64-fedora-clang 3.0.35 193.74 ERROR
r-devel-linux-x86_64-fedora-gcc 3.0.35 189.72 ERROR
r-devel-osx-x86_64-clang 3.0.35 151.76 ERROR
r-devel-windows-ix86+x86_64 3.0.35 107.00 107.00 214.00 ERROR
r-patched-linux-x86_64 3.0.35 28.02 117.91 145.92 NOTE
r-patched-solaris-sparc 3.0.35 1659.20 NOTE
r-patched-solaris-x86 3.0.35 382.20 NOTE
r-release-linux-ix86 3.0.35 36.68 142.36 179.04 OK
r-release-linux-x86_64 3.0.35 28.17 124.43 152.60 OK
r-release-osx-x86_64-mavericks 3.0.35 OK
r-release-osx-x86_64-snowleopard 3.0.35 OK
r-release-windows-ix86+x86_64 3.0.35 100.00 207.00 307.00 OK
r-oldrel-windows-ix86+x86_64 3.0.35 104.00 198.00 302.00 OK

Check Details

Version: 3.0.35
Check: foreign function calls
Result: NOTE
    Calls with DUP:
     .C("MultiDimRange", as.integer(model.nr), natsc, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("countelements", cumidx, n, elms.in.boxes, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("countneighbours", ts.xdim, parts, locfactor, Ccumparts, elms.in.boxes,
     neighbours, OK, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("countelements", i, nrow(all$x), res.in.boxes, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("UserGetNatScaling", natscl, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("GetMaxDims", maxints, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("fftVario3D", as.double(new$x), as.double(sumvals), as.double(nbvals),
     as.double(bin), as.integer(n.bins), as.integer(T[3]), as.integer(stepT),
     as.integer(nstepT), as.double(phi), as.double(theta), as.integer(repetitions),
     as.integer(vdim), emp.vario, n.bin, totalbinsOhnevdim, as.integer(pseudo),
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("empiricalvariogram", as.double(new$x), as.integer(new$spacedim),
     as.integer(new$l), as.double(data), as.integer(repetitions),
     as.integer(new$grid), as.double(bin), as.integer(n.bins),
     as.integer(0), emp.vario, emp.vario.sd, n.bin, PACKAGE = "RandomFields",
     NAOK = TRUE, DUP = DUPFALSE)
     .C("empvarioXT", as.double(new$x), as.double(T), as.integer(new$l),
     as.double(data), as.integer(repetitions), as.integer(new$grid),
     as.double(bin), as.integer(n.bins), as.double(c(phi[1], phi[2])),
     as.double(c(theta[1], theta[2])), as.integer(c(stepT, nstepT)),
     emp.vario, emp.vario.sd, n.bin, PACKAGE = "RandomFields",
     NAOK = TRUE, DUP = DUPFALSE)
     .C("minmax", as.double(data), as.integer(dimen[1]), as.integer(repet),
     as.integer(range.sequ), as.integer(lrs), l.range.count, PACKAGE = "RandomFields",
     DUP = DUPFALSE, NAOK = TRUE)
     .C("boxcounting", as.double(rbind(data[1, ], data, data[nrow(data),
     ])), as.integer(dimen[1]), as.integer(repet), as.double(factor),
     as.integer(box.sequ), as.integer(length(box.sequ)), l.box.count,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("periodogram", data, as.integer(dimen[1]), as.integer(repet),
     as.integer(fft.m), as.integer(fft.len), as.integer(fft.len/100 *
     fft.shift), l.I.lambda, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("periodogram", data, as.integer(dimen[1]), as.integer(repet),
     as.integer(fft.m), as.integer(fft.len), as.integer(fft.len/2),
     l.I.lambda, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("detrendedfluc", as.double(data), as.integer(dimen[1]), as.integer(repet),
     as.integer(block.sequ), as.integer(dfa.len), l.dfa.var, l.varmeth.var,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("Ordering", given, Ngiven, ts.xdim, pos, PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("poly_basis_extern", ts.xdim, as.integer(polydeg), powers,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("distInt", t(x), n, genes, res, PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("GetAttr", type, operator, monotone, finiterange, simpleArguments,
     internal, domains, isos, maxdim, vdim, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("GetModelList", idx, as.integer(TRUE), PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("vectordist", as.double(coord[[i]][, coord.idx]), as.integer(c(ts.xdim,
     size)), d, as.integer(FALSE), PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("GetNrParameters", selModelNum, k = integer(1), PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("vectordist", as.double(t(x)), rev(dim(x)), res, diag, DUP = DUPFALSE)
    DUP is no longer supported and will be ignored.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-devel-windows-ix86+x86_64

Version: 3.0.35
Check: R code for possible problems
Result: NOTE
    CheckXT: no visible global function definition for ‘coordinates’
    FinishImputing: no visible global function definition for ‘coordinates’
    RFinterpolate: no visible global function definition for ‘projection<-’
    RFinterpolate: no visible global function definition for ‘projection’
    RFinterpolate: no visible global function definition for ‘GridTopology’
    RFsimulate: no visible global function definition for ‘coordinates’
    RFsimulate: no visible global function definition for ‘projection<-’
    RFsimulate: no visible global function definition for ‘projection’
    RFspatialGridDataFrame: no visible global function definition for ‘CRS’
    RFspatialGridDataFrame: no visible global function definition for
     ‘SpatialGridDataFrame’
    RFspatialPointsDataFrame: no visible global function definition for
     ‘CRS’
    RFspatialPointsDataFrame: no visible global function definition for
     ‘SpatialPointsDataFrame’
    cbind_RFsp: no visible global function definition for ‘proj4string<-’
    cbind_RFsp: no visible global function definition for ‘CRS’
    cbind_RFsp: no visible global function definition for ‘proj4string’
    convert2GridTopology: no visible global function definition for
     ‘GridTopology’
    prepare4RFspDataFrame: no visible global function definition for
     ‘GridTopology’
    print.RFgridDataFrame: no visible global function definition for
     ‘coordinates’
    rfPrepare: no visible global function definition for ‘coordinates’
    rfgui.intern: no visible global function definition for ‘tclRequire’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tkdestroy’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tcl’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tclVar’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tklabel’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tkscale’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tkentry’
    rfgui.intern : OnModelSelected: no visible global function definition
     for ‘tkbind’
    rfgui.intern : OnPlotVarCovChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : OnPlotVarCovChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnPlotVarCovChanged: no visible global function
     definition for ‘tkrreplot’
    rfgui.intern : OnplotEVChanged: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : OnplotEVChanged: no visible global function definition
     for ‘tclvalue<-’
    rfgui.intern : OnplotEVChanged: no visible global function definition
     for ‘tkrreplot’
    rfgui.intern : OnScaleEntryChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : OnScaleEntryChanged: no visible global function
     definition for ‘tkconfigure’
    rfgui.intern : OnScaleEntryChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnVarEntryChanged: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : OnVarEntryChanged: no visible global function definition
     for ‘tkconfigure’
    rfgui.intern : OnVarEntryChanged: no visible global function definition
     for ‘tclvalue<-’
    rfgui.intern : OnNuggetEntryChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : OnNuggetEntryChanged: no visible global function
     definition for ‘tkconfigure’
    rfgui.intern : OnNuggetEntryChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnRotationEntryChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnRotationEntryChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : OnRadiusEntryChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : OnRadiusEntryChanged: no visible global function
     definition for ‘tkconfigure’
    rfgui.intern : OnRadiusEntryChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnAddParamEntryChanged: no visible global function
     definition for ‘tclvalue<-’
    rfgui.intern : OnAddParamEntryChanged: no visible global function
     definition for ‘tclvalue’
    rfgui.intern : GetGuiModel: no visible global function definition for
     ‘tclvalue’
    rfgui.intern : GetGuiModel: no visible global function definition for
     ‘tclvalue<-’
    rfgui.intern : plotFunction: no visible global function definition for
     ‘tclvalue’
    rfgui.intern : plotFunction: no visible global function definition for
     ‘tclvalue<-’
    rfgui.intern : plotSimulation: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : plotDensity: no visible global function definition for
     ‘tkrreplot’
    rfgui.intern : plotDensity: no visible global function definition for
     ‘tclvalue’
    rfgui.intern : OnChangeIsotropie: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : OnChangeIsotropie: no visible global function definition
     for ‘tkgrid.remove’
    rfgui.intern : OnTurnPlot: no visible global function definition for
     ‘tkrreplot’
    rfgui.intern : OnNewSimu: no visible global function definition for
     ‘tkrreplot’
    rfgui.intern : OnSimDimChanged: no visible global function definition
     for ‘tclvalue’
    rfgui.intern : OnSimDimChanged: no visible global function definition
     for ‘tkrreplot’
    rfgui.intern : OnSimDimChanged: no visible global function definition
     for ‘tclvalue<-’
    rfgui.intern : OnReturn: no visible global function definition for
     ‘tkdestroy’
    rfgui.intern : position: no visible global function definition for
     ‘tkgrid.configure’
    rfgui.intern : position: no visible global function definition for
     ‘tclvalue’
    rfgui.intern: no visible global function definition for ‘tclVar’
    rfgui.intern: no visible global function definition for ‘tclvalue’
    rfgui.intern: no visible global function definition for ‘tktoplevel’
    rfgui.intern: no visible global function definition for ‘tktitle<-’
    rfgui.intern: no visible global function definition for ‘tkgrid’
    rfgui.intern: no visible global function definition for ‘tklabel’
    rfgui.intern: no visible global function definition for ‘ttkcombobox’
    rfgui.intern: no visible global function definition for ‘tkbind’
    rfgui.intern: no visible global function definition for ‘tkrplot’
    rfgui.intern: no visible global function definition for ‘tkcheckbutton’
    rfgui.intern: no visible global function definition for ‘tkradiobutton’
    rfgui.intern: no visible global function definition for ‘tkconfigure’
    rfgui.intern: no visible global function definition for ‘tkbutton’
    rfgui.intern: no visible global function definition for ‘tkscale’
    rfgui.intern: no visible global function definition for ‘tkentry’
    spatialPointsObject2conventional: no visible global function definition
     for ‘points2grid’
    summary.RFpointsDataFrame: no visible global function definition for
     ‘coordinates’
    coerce,RFpointsDataFrame-RFgridDataFrame: no visible global function
     definition for ‘SpatialPoints’
    coerce,RFpointsDataFrame-RFgridDataFrame: no visible global function
     definition for ‘points2grid’
    coerce,RFspatialGridDataFrame-RFspatialPointsDataFrame: no visible
     global function definition for ‘coordinates’
    coerce,RFspatialPointsDataFrame-RFspatialGridDataFrame: no visible
     global function definition for ‘points2grid’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-devel-windows-ix86+x86_64

Version: 3.0.35
Check: examples
Result: ERROR
    Running examples in ‘RandomFields-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: RFcrossvalidate
    > ### Title: Fitting model parameters to spatial data (regionalised
    > ### variables) and to linear (mixed) models
    > ### Aliases: RFcrossvalidate print.crossvalidate summary.crossvalidate
    > ### print.summary.crossvalidate RFcrossvalidate.default
    > ### Keywords: spatial
    >
    > ### ** Examples
    >
    > RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    > ## RFoptions(seed=NA) to make them all random again
    >
    > RFoptions(modus_operandi="sloppy")
    Note that the option 'modus_operandi' is still in an experimental stage, so that the behaviour may change (slightly) in future.>
    > n <- if (interactive()) 100 else 5
    >
    > #########################################################
    > ## simulate some data first
    > points <- if (interactive()) 100 else 40
    > x <- runif(points, 0, 3)
    > y <- runif(points, 0, 3) ## random points in square [0, 3]^2
    > model <- RMgencauchy(alpha=1, beta=2)
    > d <- RFsimulate(model, x=x, y=y, grid=FALSE, n=n) #1000
    NOTE: simulation is performed with fixed random seed 0.
    Set RFoptions(seed=NA) to make the seed arbitrary.
    >
    >
    > #########################################################
    > ## estimation; 'NA' means: "to be estimated"
    > estmodel <- RMgencauchy(var=NA, scale=NA, alpha=NA, beta=2) +
    + RMtrend(mean=NA)
    > RFcrossvalidate(estmodel, data=d)
    Spam version 1.0-1 (2014-09-09) 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)'.
    Error in rffit.gauss(model = list("+", C0 = list("$", var = NA, scale = NA, :
     not more than 1 value in empirical variogram that is not NA; check values of bins and bin_dist_factor
    Calls: RFcrossvalidate -> RFfit -> do.call -> rffit.gauss
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang

Version: 3.0.35
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'RandomFields-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: RFcrossvalidate
    > ### Title: Fitting model parameters to spatial data (regionalised
    > ### variables) and to linear (mixed) models
    > ### Aliases: RFcrossvalidate print.crossvalidate summary.crossvalidate
    > ### print.summary.crossvalidate RFcrossvalidate.default
    > ### Keywords: spatial
    >
    > ### ** Examples
    >
    > RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    > ## RFoptions(seed=NA) to make them all random again
    >
    > RFoptions(modus_operandi="sloppy")
    Note that the option 'modus_operandi' is still in an experimental stage, so that the behaviour may change (slightly) in future.>
    > n <- if (interactive()) 100 else 5
    >
    > #########################################################
    > ## simulate some data first
    > points <- if (interactive()) 100 else 40
    > x <- runif(points, 0, 3)
    > y <- runif(points, 0, 3) ## random points in square [0, 3]^2
    > model <- RMgencauchy(alpha=1, beta=2)
    > d <- RFsimulate(model, x=x, y=y, grid=FALSE, n=n) #1000
    NOTE: simulation is performed with fixed random seed 0.
    Set RFoptions(seed=NA) to make the seed arbitrary.
    >
    >
    > #########################################################
    > ## estimation; 'NA' means: "to be estimated"
    > estmodel <- RMgencauchy(var=NA, scale=NA, alpha=NA, beta=2) +
    + RMtrend(mean=NA)
    > RFcrossvalidate(estmodel, data=d)
    Spam version 1.0-1 (2014-09-09) 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)'.
    Error in rffit.gauss(model = list("+", C0 = list("$", var = NA, scale = NA, :
     not more than 1 value in empirical variogram that is not NA; check values of bins and bin_dist_factor
    Calls: RFcrossvalidate -> RFfit -> do.call -> rffit.gauss
    Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 3.0.35
Check: running examples for arch 'x64'
Result: ERROR
    Running examples in 'RandomFields-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: RFcrossvalidate
    > ### Title: Fitting model parameters to spatial data (regionalised
    > ### variables) and to linear (mixed) models
    > ### Aliases: RFcrossvalidate print.crossvalidate summary.crossvalidate
    > ### print.summary.crossvalidate RFcrossvalidate.default
    > ### Keywords: spatial
    >
    > ### ** Examples
    >
    > RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    > ## RFoptions(seed=NA) to make them all random again
    >
    > RFoptions(modus_operandi="sloppy")
    Note that the option 'modus_operandi' is still in an experimental stage, so that the behaviour may change (slightly) in future.>
    > n <- if (interactive()) 100 else 5
    >
    > #########################################################
    > ## simulate some data first
    > points <- if (interactive()) 100 else 40
    > x <- runif(points, 0, 3)
    > y <- runif(points, 0, 3) ## random points in square [0, 3]^2
    > model <- RMgencauchy(alpha=1, beta=2)
    > d <- RFsimulate(model, x=x, y=y, grid=FALSE, n=n) #1000
    NOTE: simulation is performed with fixed random seed 0.
    Set RFoptions(seed=NA) to make the seed arbitrary.
    >
    >
    > #########################################################
    > ## estimation; 'NA' means: "to be estimated"
    > estmodel <- RMgencauchy(var=NA, scale=NA, alpha=NA, beta=2) +
    + RMtrend(mean=NA)
    > RFcrossvalidate(estmodel, data=d)
    Spam version 1.0-1 (2014-09-09) 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)'.
    Error in rffit.gauss(model = list("+", C0 = list("$", var = NA, scale = NA, :
     not more than 1 value in empirical variogram that is not NA; check values of bins and bin_dist_factor
    Calls: RFcrossvalidate -> RFfit -> do.call -> rffit.gauss
    Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 3.0.35
Check: foreign function calls
Result: NOTE
    Calls with DUP != TRUE:
     .C("MultiDimRange", as.integer(model.nr), natsc, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("countelements", cumidx, n, elms.in.boxes, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("countneighbours", ts.xdim, parts, locfactor, Ccumparts, elms.in.boxes,
     neighbours, OK, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("countelements", i, nrow(all$x), res.in.boxes, DUP = DUPFALSE,
     PACKAGE = "RandomFields")
     .C("UserGetNatScaling", natscl, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("GetMaxDims", maxints, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("fftVario3D", as.double(new$x), as.double(sumvals), as.double(nbvals),
     as.double(bin), as.integer(n.bins), as.integer(T[3]), as.integer(stepT),
     as.integer(nstepT), as.double(phi), as.double(theta), as.integer(repetitions),
     as.integer(vdim), emp.vario, n.bin, totalbinsOhnevdim, as.integer(pseudo),
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("empiricalvariogram", as.double(new$x), as.integer(new$spacedim),
     as.integer(new$l), as.double(data), as.integer(repetitions),
     as.integer(new$grid), as.double(bin), as.integer(n.bins),
     as.integer(0), emp.vario, emp.vario.sd, n.bin, PACKAGE = "RandomFields",
     NAOK = TRUE, DUP = DUPFALSE)
     .C("empvarioXT", as.double(new$x), as.double(T), as.integer(new$l),
     as.double(data), as.integer(repetitions), as.integer(new$grid),
     as.double(bin), as.integer(n.bins), as.double(c(phi[1], phi[2])),
     as.double(c(theta[1], theta[2])), as.integer(c(stepT, nstepT)),
     emp.vario, emp.vario.sd, n.bin, PACKAGE = "RandomFields",
     NAOK = TRUE, DUP = DUPFALSE)
     .C("minmax", as.double(data), as.integer(dimen[1]), as.integer(repet),
     as.integer(range.sequ), as.integer(lrs), l.range.count, PACKAGE = "RandomFields",
     DUP = DUPFALSE, NAOK = TRUE)
     .C("boxcounting", as.double(rbind(data[1, ], data, data[nrow(data),
     ])), as.integer(dimen[1]), as.integer(repet), as.double(factor),
     as.integer(box.sequ), as.integer(length(box.sequ)), l.box.count,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("periodogram", data, as.integer(dimen[1]), as.integer(repet),
     as.integer(fft.m), as.integer(fft.len), as.integer(fft.len/100 *
     fft.shift), l.I.lambda, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("periodogram", data, as.integer(dimen[1]), as.integer(repet),
     as.integer(fft.m), as.integer(fft.len), as.integer(fft.len/2),
     l.I.lambda, PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("detrendedfluc", as.double(data), as.integer(dimen[1]), as.integer(repet),
     as.integer(block.sequ), as.integer(dfa.len), l.dfa.var, l.varmeth.var,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("Ordering", given, Ngiven, ts.xdim, pos, PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("poly_basis_extern", ts.xdim, as.integer(polydeg), powers,
     PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("distInt", t(x), n, genes, res, PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("GetAttr", type, operator, monotone, finiterange, simpleArguments,
     internal, domains, isos, maxdim, vdim, DUP = DUPFALSE, PACKAGE = "RandomFields")
     .C("GetModelList", idx, as.integer(TRUE), PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("vectordist", as.double(coord[[i]][, coord.idx]), as.integer(c(ts.xdim,
     size)), d, as.integer(FALSE), PACKAGE = "RandomFields", DUP = DUPFALSE)
     .C("GetNrParameters", selModelNum, k = integer(1), PACKAGE = "RandomFields",
     DUP = DUPFALSE)
     .C("vectordist", as.double(t(x)), rev(dim(x)), res, diag, DUP = DUPFALSE)
    DUP = FALSE is deprecated and will be disabled in future versions of R.
Flavors: r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86