CRAN Package Check Results for Package geoRglm

Last updated on 2014-10-02 03:47:46.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9-4 5.17 100.94 106.10 NOTE
r-devel-linux-x86_64-debian-gcc 0.9-4 5.46 97.64 103.09 NOTE
r-devel-linux-x86_64-fedora-clang 0.9-4 206.87 NOTE
r-devel-linux-x86_64-fedora-gcc 0.9-4 201.00 NOTE
r-devel-osx-x86_64-clang 0.9-4 160.01 NOTE
r-devel-windows-ix86+x86_64 0.9-4 29.00 176.00 205.00 NOTE
r-patched-linux-x86_64 0.9-4 5.91 102.25 108.16 NOTE
r-patched-solaris-sparc 0.9-4 1188.80 NOTE
r-patched-solaris-x86 0.9-4 256.30 NOTE
r-release-linux-ix86 0.9-4 6.93 134.06 141.00 NOTE
r-release-linux-x86_64 0.9-4 6.11 102.97 109.08 NOTE
r-release-osx-x86_64-mavericks 0.9-4 NOTE
r-release-osx-x86_64-snowleopard 0.9-4 NOTE
r-release-windows-ix86+x86_64 0.9-4 23.00 188.00 211.00 NOTE
r-oldrel-windows-ix86+x86_64 0.9-4 24.00 179.00 203.00 NOTE

Check Details

Version: 0.9-4
Check: dependencies in R code
Result: NOTE
    ':::' call which should be '::': ‘geoR:::.geoR_inout’
     See the note in ?`:::` about the use of this operator.
    Unexported objects imported by ':::' calls:
     ‘geoR:::.bilinearformXAY’ ‘geoR:::.check.locations’
     ‘geoR:::.cond.sim’ ‘geoR:::.cor.number’
     ‘geoR:::.diagquadraticformXAX’ ‘geoR:::.ldots.set’
     ‘geoR:::.prepare.graph.krige.bayes’ ‘geoR:::.solve.geoR’
     ‘geoR:::hist.krige.bayes’
     See the note in ?`:::` about the use of this operator.
    See the information on DESCRIPTION files in the chapter ‘Creating R
    packages’ of the ‘Writing R Extensions’ manual.
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, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-ix86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-osx-x86_64-snowleopard, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.9-4
Check: foreign function calls
Result: NOTE
    Calls with DUP:
     .C("mcmc1poislog", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(meanS), as.double(as.vector(t(QQ))),
     as.double(as.vector(QtivQ)), as.double(rnorm(n * nsim * thin) *
     sqrt(S.scale)), as.double(runif(nsim * thin)), as.double(Htrunc),
     as.double(S.scale), as.integer(nsim), as.integer(thin), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.integer(n.iter), as.integer(thin), as.integer(burn.in),
     as.integer(messages.C), as.double(ss.sigma), as.integer(df),
     as.double(phi.prior), as.double(phi.discrete), as.integer(nmphi),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), as.double(lambda),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), Sdata = Sdata,
     phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), as.double(lambda), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1binom", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(S.scale), as.integer(nsim), as.integer(thin),
     acc.rate = as.double(1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1poisboxcox", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(Htrunc), as.double(S.scale), as.integer(nsim),
     as.integer(thin), as.double(lambda), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("binitprod", as.integer(temp.list$n.data), as.double(as.vector(temp.list$coords[,
     1])), as.double(as.vector(temp.list$coords[, 2])), as.double(as.vector(data)),
     as.integer(temp.list$nbins), as.double(as.vector(temp.list$bins.lim)),
     as.double(temp.list$max.dist), cbin = as.integer(rep(0, temp.list$nbins)),
     vbin = as.double(rep(0, temp.list$nbins)), DUP = FALSE, PACKAGE = "geoRglm")
    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: 0.9-4
Check: R code for possible problems
Result: NOTE
    create.mcmc.coda: no visible global function definition for ‘mcmc’
    
    Found the following calls to attach():
    File ‘geoRglm/R/bayes.R’:
     attach(x, pos = 2, warn.conflicts = FALSE)
     attach(x, pos = 2, warn.conflicts = FALSE)
    See section ‘Good practice’ in ‘?attach’.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.9-4
Check: R code for possible problems
Result: NOTE
    create.mcmc.coda: no visible global function definition for ‘mcmc’
Flavors: 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: 0.9-4
Check: foreign function calls
Result: NOTE
    Calls with DUP != TRUE:
     .C("mcmc1poislog", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(meanS), as.double(as.vector(t(QQ))),
     as.double(as.vector(QtivQ)), as.double(rnorm(n * nsim * thin) *
     sqrt(S.scale)), as.double(runif(nsim * thin)), as.double(Htrunc),
     as.double(S.scale), as.integer(nsim), as.integer(thin), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.integer(n.iter), as.integer(thin), as.integer(burn.in),
     as.integer(messages.C), as.double(ss.sigma), as.integer(df),
     as.double(phi.prior), as.double(phi.discrete), as.integer(nmphi),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), as.double(lambda),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), Sdata = Sdata,
     phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), as.double(lambda), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1binom", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(S.scale), as.integer(nsim), as.integer(thin),
     acc.rate = as.double(1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1poisboxcox", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(Htrunc), as.double(S.scale), as.integer(nsim),
     as.integer(thin), as.double(lambda), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("binitprod", as.integer(temp.list$n.data), as.double(as.vector(temp.list$coords[,
     1])), as.double(as.vector(temp.list$coords[, 2])), as.double(as.vector(data)),
     as.integer(temp.list$nbins), as.double(as.vector(temp.list$bins.lim)),
     as.double(temp.list$max.dist), cbin = as.integer(rep(0, temp.list$nbins)),
     vbin = as.double(rep(0, temp.list$nbins)), DUP = FALSE, PACKAGE = "geoRglm")
    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

Version: 0.9-4
Check: R code for possible problems
Result: NOTE
    Found the following calls to attach():
    File ‘geoRglm/R/bayes.R’:
     attach(x, pos = 2, warn.conflicts = FALSE)
     attach(x, pos = 2, warn.conflicts = FALSE)
    See section ‘Good practice’ in ‘?attach’.
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.9-4
Check: foreign function calls
Result: NOTE
    Calls with DUP = FALSE:
     .C("mcmc1poislog", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(meanS), as.double(as.vector(t(QQ))),
     as.double(as.vector(QtivQ)), as.double(rnorm(n * nsim * thin) *
     sqrt(S.scale)), as.double(runif(nsim * thin)), as.double(Htrunc),
     as.double(S.scale), as.integer(nsim), as.integer(thin), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.integer(n.iter), as.integer(thin), as.integer(burn.in),
     as.integer(messages.C), as.double(ss.sigma), as.integer(df),
     as.double(phi.prior), as.double(phi.discrete), as.integer(nmphi),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5binom", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), as.double(lambda),
     Sdata = Sdata, phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun5", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(meanS)), as.double(as.vector(ttvbetatt)),
     as.integer(cov.model.number), as.double(kappa), as.double(tausq.rel),
     as.double(coords[, 1]), as.double(coords[, 2]), as.double(S.scale),
     as.double(phi.scale), as.double(Htrunc), as.integer(n.iter),
     as.integer(thin), as.integer(burn.in), as.integer(messages.C),
     as.double(ss.sigma), as.integer(df), as.double(phi.prior),
     as.double(phi.discrete), as.integer(nmphi), Sdata = Sdata,
     phi.sample = as.double(rep(phi, n.sim)), acc.rate = rep(0,
     floor(n.iter/1000) + 1), acc.rate.phi = rep(0, floor(n.iter/1000) +
     1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4boxcox", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), as.double(lambda), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmcrun4", as.integer(n), as.double(data), as.double(units.m),
     as.double(as.vector(t(trend))), as.integer(beta.size), as.integer(cov.model.number),
     as.double(kappa), as.double(tausq.rel), as.double(coords[,
     1]), as.double(coords[, 2]), as.double(S.scale), as.double(phi.scale),
     as.double(Htrunc), as.integer(n.iter), as.integer(thin),
     as.integer(burn.in), as.integer(messages.C), as.double(ss.sigma),
     as.integer(df), as.double(phi.prior), as.double(phi.discrete),
     as.integer(nmphi), Sdata = Sdata, phi.sample = as.double(rep(phi,
     n.sim)), acc.rate = rep(0, floor(n.iter/1000) + 1), acc.rate.phi = rep(0,
     floor(n.iter/1000) + 1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1binom", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(S.scale), as.integer(nsim), as.integer(thin),
     acc.rate = as.double(1), DUP = FALSE, PACKAGE = "geoRglm")
     .C("mcmc1poisboxcox", as.integer(n), z = as.double(z), S = as.double(rep(0,
     nsim * n)), as.double(data), as.double(units.m), as.double(meanS),
     as.double(as.vector(t(QQ))), as.double(as.vector(QtivQ)),
     as.double(rnorm(n * nsim * thin) * sqrt(S.scale)), as.double(runif(nsim *
     thin)), as.double(Htrunc), as.double(S.scale), as.integer(nsim),
     as.integer(thin), as.double(lambda), acc.rate = as.double(1),
     DUP = FALSE, PACKAGE = "geoRglm")
     .C("binitprod", as.integer(temp.list$n.data), as.double(as.vector(temp.list$coords[,
     1])), as.double(as.vector(temp.list$coords[, 2])), as.double(as.vector(data)),
     as.integer(temp.list$nbins), as.double(as.vector(temp.list$bins.lim)),
     as.double(temp.list$max.dist), cbin = as.integer(rep(0, temp.list$nbins)),
     vbin = as.double(rep(0, temp.list$nbins)), DUP = FALSE, PACKAGE = "geoRglm")
    DUP = FALSE is deprecated and may be disabled in future versions of R.
Flavors: r-release-linux-ix86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-windows-ix86+x86_64

Version: 0.9-4
Check: re-building of vignette outputs
Result: NOTE
    Error in re-building vignettes:
     ...
    
    ---------------------------------------------------------
    
    geoRglm - a package for generalised linear spatial models
    
    
    geoRglm version 0.9-4 (2013-12-11) is now loaded
    
    -----------------------------------------------------------
    
    
    
    Loading required package: lattice
    Error in texi2dvi(file = file, pdf = TRUE, clean = clean, quiet = quiet, :
     Running 'texi2dvi' on 'geoRglmintro.tex' failed.
    LaTeX errors:
    ! LaTeX Error: File `texnames.sty' not found.
    
    Type X to quit or <RETURN> to proceed,
    or enter new name. (Default extension: sty)
    
    _test/geoRglm/vignettes/geoRglmintro.tex:31: ==> Fatal error occurred, no outp
    ut PDF file produced!
    Calls: buildVignettes -> texi2pdf -> texi2dvi
    Execution halted
Flavor: r-release-osx-x86_64-mavericks

Version: 0.9-4
Check: re-building of vignette outputs
Result: NOTE
    Error in re-building vignettes:
     ...
     For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
     geoR version 1.7-4 (built on 2012-06-29) is now loaded
    --------------------------------------------------------------
    
    ---------------------------------------------------------
    
    geoRglm - a package for generalised linear spatial models
    
    
    geoRglm version 0.9-4 (2013-12-11) is now loaded
    
    -----------------------------------------------------------
    
    
    
    Loading required package: lattice
    Error in texi2dvi(file = file, pdf = TRUE, clean = clean, quiet = quiet, :
     Running 'texi2dvi' on 'geoRglmintro.tex' failed.
    LaTeX errors:
    ! LaTeX Error: File `lastpage.sty' not found.
    
    Type X to quit or <RETURN> to proceed,
    or enter new name. (Default extension: sty)
    Calls: buildVignettes -> texi2pdf -> texi2dvi
    Execution halted
Flavor: r-release-osx-x86_64-snowleopard