CRAN Package Check Results for Package RandomFields

Last updated on 2014-07-29 23:47:14.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.0.30 18.46 111.20 129.66 OK
r-devel-linux-x86_64-debian-gcc 3.0.30 28.24 111.05 139.30 OK
r-devel-linux-x86_64-fedora-clang 3.0.30 144.29 OK
r-devel-linux-x86_64-fedora-gcc 3.0.30 266.42 OK
r-devel-osx-x86_64-clang 3.0.30 202.97 OK
r-devel-windows-ix86+x86_64 3.0.30 117.00 144.00 261.00 ERROR
r-patched-linux-x86_64 3.0.30 27.22 111.60 138.82 OK
r-patched-solaris-sparc 3.0.30 1474.70 OK
r-patched-solaris-x86 3.0.30 379.10 OK
r-release-linux-ix86 3.0.10 34.52 120.22 154.73 NOTE
r-release-linux-x86_64 3.0.30 27.51 112.19 139.70 OK
r-release-osx-x86_64-mavericks 3.0.10 NOTE
r-release-osx-x86_64-snowleopard 3.0.30 ERROR
r-release-windows-ix86+x86_64 3.0.30 105.00 157.00 262.00 ERROR
r-oldrel-windows-ix86+x86_64 3.0.30 110.00 163.00 273.00 ERROR

Memtest notes: UBSAN

Check Details

Version: 3.0.30
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'RandomFields-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: RMcauchy
    > ### Title: Cauchy Family Covariance Model
    > ### Aliases: RMcauchy
    > ### Keywords: spatial models
    >
    > ### ** Examples
    >
    > RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    > ## RFoptions(seed=NA) to make them all random again
    > model <- RMcauchy(gamma=1)
    > x <- seq(0, 10, if (interactive()) 0.02 else 1)
    > plot(model, ylim=c(0,1))
    > plot(RFsimulate(model, x=x, pri=8))
    NOTE: simulation is performed with fixed random seed 0.
    Set RFoptions(seed=NA) to make the seed arbitrary.
    
    MERR: error code 0 [none]
    
    (PMI 'simu.cc', line 876)
     *** ****** RFSimulate ****** [126,3181]
    param
     checkonly 0
     setseed < language expression >
     env < language expression >
    internal-q [2] 11.000000 1.000000
    calling NULL
    gatter -----# (7)
    domprev/own 0/0 (single variable/single variable)
    isoprev/own 5/5 (cartesian system/cartesian system)
    ts-x-v-dim 1, 1:1, 1/1
    maxdim 2147483647
    type interface (10)
    role <none> (0)
    method forbidden
    initialised true
    fieldret true
    origrf false
    rf 0
    checked true
    pref cir:0 cut:0 int:0 tbm:0 spe:0 dir:0 seq:0
     mar:0 ave:0 nug:0 coi:0 hyp:0 spe:0 any:0
    determinst true
    user_given explicit
    logspeed nan
    full/rese deriv's 0, 0
    loggiven false
    monotone mismatch in monotonicity (-4)
    finiterng false
    storage 0
    simu:activ true
    simu:pair false
    simu:expect 1
    MLE true
    mpp:M+ not initialized yet (size=-4)
    mpp:M not initialized yet (size=-4)
    mpp:log false
    mpplgnonst false
    mpp:do true
    taylor undetermined
    tailtlr undetermined
    loc:extern (0)
    loc:ts,sp,xdimOZ 1 1 1
    loc:length 11
    loc:lx 3
    loc:totpts 11
    loc:grid true
    loc:dist false
    loc:Time false
    loc:
Flavors: r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

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-release-linux-ix86, r-release-osx-x86_64-mavericks

Version: 3.0.30
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-release-osx-x86_64-snowleopard