CRAN Package Check Results for Package RandomFields

Last updated on 2014-04-21 09:48:07.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.0.10 17.59 106.60 124.19 NOTE
r-devel-linux-x86_64-debian-gcc 3.0.10 25.76 106.55 132.32 NOTE
r-devel-linux-x86_64-fedora-clang 3.0.10 246.54 NOTE
r-devel-linux-x86_64-fedora-gcc 3.0.10 247.88 NOTE
r-devel-macosx-x86_64-clang 3.0.10 195.03 NOTE
r-devel-macosx-x86_64-gcc 3.0.10 ERROR
r-devel-windows-ix86+x86_64 3.0.10 92.00 156.00 248.00 NOTE
r-patched-linux-x86_64 3.0.10 25.54 107.26 132.80 NOTE
r-patched-solaris-sparc 3.0.10 1482.50 NOTE
r-patched-solaris-x86 3.0.10 339.20 NOTE
r-release-linux-ix86 NOTE
r-release-linux-x86_64 3.0.10 25.36 103.70 129.06 NOTE
r-release-macosx-x86_64 3.0.10 OK
r-release-windows-ix86+x86_64 3.0.10 128.00 158.00 286.00 NOTE
r-oldrel-windows-ix86+x86_64 3.0.10 99.00 164.00 263.00 OK

Memtest notes: UBSAN valgrind

Check Details

Version: 3.0.10
Check: foreign function calls
Result: NOTE
    Calls with DUP = FALSE:
     .C("MultiDimRange", as.integer(model.nr), natsc, DUP = FALSE,
     PACKAGE = "RandomFields")
     .C("countelements", cumidx, n, elms.in.boxes, DUP = FALSE, PACKAGE = "RandomFields")
     .C("countneighbours", ts.xdim, parts, locfactor, Ccumparts, elms.in.boxes,
     neighbours, OK, DUP = FALSE, PACKAGE = "RandomFields")
     .C("countelements", i, nrow(all$x), res.in.boxes, DUP = FALSE,
     PACKAGE = "RandomFields")
     .C("UserGetNatScaling", natscl, PACKAGE = "RandomFields", DUP = FALSE)
     .C("GetMaxDims", maxints, DUP = FALSE, PACKAGE = "RandomFields")
     .C("PutValuesAtNA", Reg, trafo(var), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, trafo(var), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("fftVario3D", as.double(new$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(c(phi[1], phi[2])), as.double(c(theta[1],
     theta[2])), as.integer(repetitions), emp.vario, n.bin,
     pseudo, PACKAGE = "RandomFields", DUP = FALSE)
     .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 = FALSE)
     .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(deltaT), emp.vario,
     emp.vario.sd, n.bin, PACKAGE = "RandomFields", NAOK = TRUE,
     DUP = FALSE)
     .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 = FALSE, 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 = FALSE)
     .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 = FALSE)
     .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 = FALSE)
     .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 = FALSE)
     .C("Ordering", given, Ngiven, ts.xdim, pos, PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("poly_basis_extern", ts.xdim, as.integer(polydeg), powers,
     PACKAGE = "RandomFields", DUP = FALSE)
     .C("distInt", t(x), n, genes, res, PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, trafo(guess), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .C("PutValuesAtNA", Reg, trafo(guess), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .C("PutValuesAtNA", Reg, trafo(lower), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .C("PutValuesAtNA", Reg, trafo(upper), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .Call("EvaluateModel", as.double(n), as.integer(reg), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("GetAttr", type, operator, normalmix, finiterange, internal,
     domains, isos, maxdim, vdim, DUP = FALSE, PACKAGE = "RandomFields")
     .C("GetModelList", idx, as.integer(TRUE), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, param, PACKAGE = "RandomFields", DUP = FALSE)
     .C("PutValuesAtNA", Reg, param, PACKAGE = "RandomFields", DUP = FALSE)
     .C("PutValuesAtNA", Reg, as.double((1:nrow(minmax)) * 1.11),
     PACKAGE = "RandomFields", DUP = FALSE, NAOK = TRUE)
     .C("vectordist", as.double(coord[[i]][, coord.idx]), as.integer(c(ts.xdim,
     size)), d, as.integer(FALSE), PACKAGE = "RandomFields", DUP = FALSE)
     .C("PutValuesAtNA", Reg, users.guess, PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, trafo(autostart), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, as.double(new.lower.vector), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, as.double(new.upper.vector), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, guess, PACKAGE = "RandomFields", DUP = FALSE,
     NAOK = TRUE)
     .C("PutValuesAtNA", Reg, as.double(param.table[idx, i]), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("PutValuesAtNA", Reg, as.double(lower), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .C("PutValuesAtNA", Reg, as.double(upper), PACKAGE = "RandomFields",
     DUP = FALSE, NAOK = TRUE)
     .C("PutValuesAtNA", Reg, param, PACKAGE = "RandomFields", DUP = FALSE)
     .C("expliciteDollarMLE", Reg, param, PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("GetNrParameters", selModelNum, k = integer(1), PACKAGE = "RandomFields",
     DUP = FALSE)
     .C("vectordist", as.double(t(x)), rev(dim(x)), res, diag, DUP = FALSE)
    DUP = FALSE is deprecated and may be disabled in future versions of R.
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-macosx-x86_64-clang, r-devel-macosx-x86_64-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-ix86, r-release-linux-x86_64, r-release-windows-ix86+x86_64

Version: 3.0.10
Check: package dependencies
Result: NOTE
    Packages suggested but not available for checking: ‘raster’ ‘spam’
Flavor: r-devel-macosx-x86_64-gcc

Version: 3.0.10
Check: R code for possible problems
Result: NOTE
    RFinterpolate: no visible global function definition for ‘projection<-’
    RFinterpolate: no visible global function definition for ‘projection’
    RFsimulate: no visible global function definition for ‘projection<-’
    RFsimulate: no visible global function definition for ‘projection’
Flavor: r-devel-macosx-x86_64-gcc

Version: 3.0.10
Check: Rd cross-references
Result: NOTE
    Package unavailable to check Rd xrefs: ‘raster’
Flavor: r-devel-macosx-x86_64-gcc

Version: 3.0.10
Check: examples
Result: ERROR
    Running examples in ‘RandomFields-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: RFfit
    > ### Title: Fitting model parameters to spatial data (regionalised
    > ### variables) and to linear (mixed) models
    > ### Aliases: RFfit RFfit.default
    > ### Keywords: spatial
    >
    > ### ** Examples
    >
    > RFoptions(seed=0)
    >
    > ## Don't show:
    > {
    + RFoptions(modus_operandi="sloppy")
    + }
    Note that the option 'mode' is still in an experimental stage, so that the behaviour may change (slightly) in future.> ## End Don't show
    >
    > 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
    .
    . circulant : covprev=0 locpref= 0 totpref= 26
    . cutoff : covprev=0 locpref= -2 totpref= 63
    . intrinsic : covprev=0 locpref= -3 totpref= 62
    . tbm : covprev=0 locpref= 9 totpref= 74
    . spectral : covprev=0 locpref= 10 totpref=-10004
    . direct : covprev=0 locpref= 8 totpref= 78
    . sequential : covprev=0 locpref=-999 totpref=-10000
    . markov : covprev=0 locpref=-999 totpref=-10003
    . average : covprev=0 locpref= 4 totpref=-10004
    . nugget : covprev=0 locpref= 3 totpref=-10004
    . coins : covprev=0 locpref= 2 totpref=-10004
    . hyperplane : covprev=0 locpref= 1 totpref=-10004
    . specific : covprev=0 locpref= 7 totpref=-10004
    . initstandard gencauchy (46) [pref value 78]
    . direct : pref=78
    . returning to higher level...
    >
    >
    > #########################################################
    > ## estimation; 'NA' means: "to be estimated"
    > estmodel <- RMgencauchy(var=NA, scale=NA, alpha=NA, beta=2) +
    + RMtrend(mean=NA)
    > v <- RFfit(estmodel, data=d, spC=FALSE)
    Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
     there is no package called ‘spam’
    Error in if (use_spam) stop("package 'spam' could not be loaded") :
     missing value where TRUE/FALSE needed
    Calls: RFfit -> do.call -> rffit.gauss
    Execution halted
Flavor: r-devel-macosx-x86_64-gcc