CRAN Package Check Results for Package R2BayesX

Last updated on 2014-07-29 11:49:53.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3-1 5.20 74.50 79.70 NOTE
r-devel-linux-x86_64-debian-gcc 0.3-1 5.03 73.32 78.35 NOTE
r-devel-linux-x86_64-fedora-clang 0.3-1 175.52 NOTE
r-devel-linux-x86_64-fedora-gcc 0.3-1 164.89 NOTE
r-devel-osx-x86_64-clang 0.3-1 136.55 NOTE
r-devel-windows-ix86+x86_64 0.3-1 15.00 130.00 145.00 NOTE
r-patched-linux-x86_64 0.3-1 4.91 75.75 80.66 NOTE
r-patched-solaris-sparc 0.3-1 954.50 NOTE
r-patched-solaris-x86 0.3-1 184.10 ERROR
r-release-linux-ix86 0.3-1 6.30 91.62 97.92 NOTE
r-release-linux-x86_64 0.3-1 5.15 76.07 81.22 NOTE
r-release-osx-x86_64-mavericks 0.3-1 NOTE
r-release-osx-x86_64-snowleopard 0.3-1 ERROR
r-release-windows-ix86+x86_64 0.3-1 13.00 139.00 152.00 NOTE
r-oldrel-windows-ix86+x86_64 0.3-1 17.00 134.00 151.00 NOTE

Check Details

Version: 0.3-1
Check: dependencies in R code
Result: NOTE
    Packages in Depends field not imported from:
     BayesXsrc colorspace mgcv
     These packages need to be imported from (in the NAMESPACE file)
     for when this namespace is loaded but not attached.
    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-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.3-1
Check: examples
Result: ERROR
    Running examples in R2BayesX-Ex.R failed
    The error most likely occurred in:
    
    > ### Name: plot3d
    > ### Title: 3D Effect Plot
    > ### Aliases: plot3d plotsurf
    > ### Keywords: hplot
    >
    > ### ** Examples
    >
    > ## generate some data
    > set.seed(111)
    > n <- 500
    >
    > ## regressors
    > dat <- data.frame(z = runif(n, -3, 3), w = runif(n, 0, 6))
    >
    > ## response
    > dat$y <- with(dat, 1.5 + cos(z) * sin(w) + rnorm(n, sd = 0.6))
    >
    > ## Not run:
    > ##D ## estimate model
    > ##D b <- bayesx(y ~ sx(z, w, bs = "te", knots = 5), data = dat, method = "REML")
    > ##D summary(b)
    > ##D
    > ##D ## plot estimated effect
    > ##D plot(b, term = "sx(z,w)")
    > ##D
    > ##D ## extract fitted effects
    > ##D f <- fitted(b, term = "sx(z,w)")
    > ##D
    > ##D ## now use plot3d
    > ##D plot3d(f)
    > ##D plot3d(f, swap = TRUE)
    > ##D plot3d(f, residuals = TRUE)
    > ##D plot3d(f, resid = TRUE, cex.resid = 0.1)
    > ##D plot3d(f, resid = TRUE, pch = 2, col.resid = "green3")
    > ##D plot3d(f, resid = TRUE, c.select = 95, cex.resid = 0.1)
    > ##D plot3d(f, resid = TRUE, c.select = 80, cex.resid = 0.1)
    > ##D plot3d(f, grid = 100, border = NA)
    > ##D plot3d(f, c.select = 95, border = c("red", NA, "green"),
    > ##D col.surface = c(1, NA, 1), resid = TRUE, cex.resid = 0.2)
    > ##D
    > ##D ## now some image and contour
    > ##D plot3d(f, image = TRUE, legend = FALSE)
    > ##D plot3d(f, image = TRUE, legend = TRUE)
    > ##D plot3d(f, image = TRUE, contour = TRUE)
    > ##D plot3d(f, image = TRUE, contour = TRUE, swap = TRUE)
    > ##D plot3d(f, image = TRUE, contour = TRUE, col.contour = "white")
    > ##D plot3d(f, contour = TRUE)
    > ##D op <- par(no.readonly = TRUE)
    > ##D par(mfrow = c(1, 3))
    > ##D plot3d(f, image = TRUE, contour = TRUE, c.select = 3)
    > ##D plot3d(f, image = TRUE, contour = TRUE, c.select = "Estimate")
    > ##D plot3d(f, image = TRUE, contour = TRUE, c.select = "97.5##D
    > ##D par(op)
    > ## End(Not run)
    >
    > ## another variation
    > dat$f1 <- with(dat, sin(z) * cos(w))
    > plot3d(cbind(z = dat$z, w = dat$w, f1 = dat$f1))
    Loading required package: akima
    NOTE: Package 'akima' has an ACM license that restricts applications to non-commercial usage.
    NOTE: akima::interp() is designed for irregular data points, the coordinates will be slightly jittered to obtain irregular spaced points.
    Warning in min(x) : no non-missing arguments to min; returning Inf
    Warning in max(x) : no non-missing arguments to max; returning -Inf
    Warning in min(x) : no non-missing arguments to min; returning Inf
    Warning in max(x) : no non-missing arguments to max; returning -Inf
    Error in seq.default(range[1L], range[2L], length.out = ncol + 1L) :
     'from' cannot be NA, NaN or infinite
    Calls: plot3d -> make_pal -> seq -> seq.default
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.3-1
Check: package dependencies
Result: NOTE
    Packages suggested but not available for checking: maptools MBA spdep
Flavor: r-release-osx-x86_64-mavericks

Version: 0.3-1
Check: R code for possible problems
Result: NOTE
    plotmap: no visible global function definition for gpclibPermit
    plotmap: no visible global function definition for
     unionSpatialPolygons
Flavor: r-release-osx-x86_64-mavericks

Version: 0.3-1
Check: Rd cross-references
Result: NOTE
    Package unavailable to check Rd xrefs: MBA
Flavor: r-release-osx-x86_64-mavericks

Version: 0.3-1
Check: package dependencies
Result: NOTE
    Packages suggested but not available for checking: parallel splines
Flavor: r-release-osx-x86_64-snowleopard

Version: 0.3-1
Check: whether package can be installed
Result: ERROR
    Installation failed.
    See /Volumes/XT3/Builds/R-dev-web/QA/Simon/packages/snowleopard-x86_64/results/3.1/R2BayesX.Rcheck/00install.out for details.
Flavor: r-release-osx-x86_64-snowleopard