CRAN Package Check Results for Package mixture

Last updated on 2015-03-06 06:47:00.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3 2.23 13.52 15.75 WARN
r-devel-linux-x86_64-debian-gcc 1.3 2.84 13.57 16.40 WARN
r-devel-linux-x86_64-fedora-clang 1.3 29.40 WARN
r-devel-linux-x86_64-fedora-gcc 1.3 27.61 WARN
r-devel-osx-x86_64-clang 1.3 30.98 WARN
r-devel-windows-ix86+x86_64 1.3 10.00 25.00 35.00 ERROR
r-patched-linux-x86_64 1.3 2.89 13.85 16.74 WARN
r-patched-solaris-sparc 1.3 218.40 WARN
r-patched-solaris-x86 1.3 45.50 WARN
r-release-linux-ix86 1.3 3.02 17.71 20.72 ERROR
r-release-linux-x86_64 1.3 3.87 13.77 17.64 OK
r-release-osx-x86_64-mavericks 1.3 WARN
r-release-osx-x86_64-snowleopard 1.3 WARN
r-release-windows-ix86+x86_64 1.3 8.00 23.00 31.00 ERROR
r-oldrel-windows-ix86+x86_64 1.3 8.00 24.00 32.00 ERROR

Memtest notes: valgrind

Check Details

Version: 1.3
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     mixture.c:24:10: warning: incompatible integer to pointer conversion assigning to 'int *' from 'int' [-Wint-conversion]
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-fedora-clang, r-devel-osx-x86_64-clang, r-release-osx-x86_64-mavericks

Version: 1.3
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     mixture.c:24:10: warning: assignment makes pointer from integer without a cast
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64

Version: 1.3
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     mixture.c:24:10: warning: assignment makes pointer from integer without a cast [enabled by default]
Flavors: r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64

Version: 1.3
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'mixture-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gpcm
    > ### Title: Gaussian Parsimonious Clustering Models
    > ### Aliases: gpcm
    > ### Keywords: multivariate cluster classif
    >
    > ### ** Examples
    >
    > data("x2")
    >
    > # use k-means starts
    > ax0 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start=0, pprogress=TRUE, atol=1e-2)
    [1] "1" "VVV"
    [1] "1" "EVE"
    [1] "2" "VVV"
    [1] "2" "EVE"
    [1] "3" "VVV"
    [1] "3" "EVE"
    [1] "4" "VVV"
    [1] "4" "EVE"
    [1] "5" "VVV"
    [1] "5" "EVE"
    > summary(ax0)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.086
    3 2001.248 1981.470
    4 2030.099 2002.868
    5 2047.946 2018.023
    > ax0
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using k-means starts.
    >
    > # use 6 random values for starting values
    > ax6 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= 2, atol=1e-2)
Flavor: r-devel-windows-ix86+x86_64

Version: 1.3
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     "mixture.c", line 24: warning: improper pointer/integer combination: op "="
Flavors: r-patched-solaris-sparc, r-patched-solaris-x86

Version: 1.3
Check: examples
Result: ERROR
    Running examples in ‘mixture-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: gpcm
    > ### Title: Gaussian Parsimonious Clustering Models
    > ### Aliases: gpcm
    > ### Keywords: multivariate cluster classif
    >
    > ### ** Examples
    >
    > data("x2")
    >
    > # use k-means starts
    > ax0 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start=0, pprogress=TRUE, atol=1e-2)
    [1] "1" "VVV"
    [1] "1" "EVE"
    [1] "2" "VVV"
    [1] "2" "EVE"
    [1] "3" "VVV"
    [1] "3" "EVE"
    [1] "4" "VVV"
    [1] "4" "EVE"
    [1] "5" "VVV"
    [1] "5" "EVE"
    > summary(ax0)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.086
    3 2001.248 1981.470
    4 2030.099 2002.868
    5 2047.946 2018.023
    > ax0
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using k-means starts.
    >
    > # use 6 random values for starting values
    > ax6 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= 2, atol=1e-2)
    > summary(ax6)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2542.055
    3 2001.248 1981.470
    4 2025.270 2003.302
    5 2041.646 2022.674
    > ax6
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using 2 random initializations starts.
    >
    > # use deterministic annealing for starting values
    > #axNULL = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"), start=NULL, atol=1e-2)
    > #summary(axNULL)
    > #axNULL
    >
    > # use your own deterministic annealing values for starting values
    > #vseq0 = rep(seq(.05, 1, length.out=5),each=2)
    > #axv = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"), start=vseq0, atol=1e-2)
    > #summary(axv)
    > #axv
    >
    > # Initialization using your own function
    > igparhc <- function(data=NULL, g=NULL,covtype=NULL) {
    + lw = cutree(hclust(dist(data), "complete"),k=g)
    + w = matrix(0, nrow=nrow(data), ncol=g)
    + for (j in 1:ncol(w)) w[,j] = as.numeric( lw ==j )
    + return(w)
    + }
    > axhclust = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= igparhc, atol=1e-2)
    > summary(axhclust)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.085
    3 2001.248 1981.470
    4 2034.105 2000.265
    5 2047.945 2023.130
    > axhclust
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using a user specified initialization function. starts.
    >
    > # Estimate all 14 covariance structures from k-means starts
    > ax = gpcm(x2, G=1:5, start=0, atol=1e-2)
    *** Error in `/home/hornik/tmp/R.check/r-release-gcc/Work/build/bin/exec/R': free(): invalid next size (normal): 0x095b2d90 ***
Flavor: r-release-linux-ix86

Version: 1.3
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     mixture.c:24: warning: assignment makes pointer from integer without a cast
Flavor: r-release-osx-x86_64-snowleopard

Version: 1.3
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'mixture-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gpcm
    > ### Title: Gaussian Parsimonious Clustering Models
    > ### Aliases: gpcm
    > ### Keywords: multivariate cluster classif
    >
    > ### ** Examples
    >
    > data("x2")
    >
    > # use k-means starts
    > ax0 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start=0, pprogress=TRUE, atol=1e-2)
    [1] "1" "VVV"
    [1] "1" "EVE"
    [1] "2" "VVV"
    [1] "2" "EVE"
    [1] "3" "VVV"
    [1] "3" "EVE"
    [1] "4" "VVV"
    [1] "4" "EVE"
    [1] "5" "VVV"
    [1] "5" "EVE"
    > summary(ax0)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.086
    3 2001.248 1981.470
    4 2030.099 2002.868
    5 2047.946 2018.023
    > ax0
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using k-means starts.
    >
    > # use 6 random values for starting values
    > ax6 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= 2, atol=1e-2)
    > summary(ax6)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2542.291
    3 2001.248 1981.470
    4 2025.270 2004.268
    5 2041.646 2024.909
    > ax6
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using 2 random initializations starts.
    >
    > # use deterministic annealing for starting values
    > #axNULL = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"), start=NULL, atol=1e-2)
    > #summary(axNULL)
    > #axNULL
    >
    > # use your own deterministic annealing values for starting values
    > #vseq0 = rep(seq(.05, 1, length.out=5),each=2)
    > #axv = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"), start=vseq0, atol=1e-2)
    > #summary(axv)
    > #axv
    >
    > # Initialization using your own function
    > igparhc <- function(data=NULL, g=NULL,covtype=NULL) {
    + lw = cutree(hclust(dist(data), "complete"),k=g)
    + w = matrix(0, nrow=nrow(data), ncol=g)
    + for (j in 1:ncol(w)) w[,j] = as.numeric( lw ==j )
    + return(w)
    + }
    > axhclust = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= igparhc, atol=1e-2)
    > summary(axhclust)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.084
    3 2001.248 1981.470
    4 2034.105 2000.265
    5 2047.945 2023.130
    > axhclust
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using a user specified initialization function. starts.
    >
    > # Estimate all 14 covariance structures from k-means starts
    > ax = gpcm(x2, G=1:5, start=0, atol=1e-2)
    
    This application has requested the Runtime to terminate it in an unusual way.
    Please contact the application's support team for more information.
Flavor: r-release-windows-ix86+x86_64

Version: 1.3
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'mixture-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gpcm
    > ### Title: Gaussian Parsimonious Clustering Models
    > ### Aliases: gpcm
    > ### Keywords: multivariate cluster classif
    >
    > ### ** Examples
    >
    > data("x2")
    >
    > # use k-means starts
    > ax0 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start=0, pprogress=TRUE, atol=1e-2)
    [1] "1" "VVV"
    [1] "1" "EVE"
    [1] "2" "VVV"
    [1] "2" "EVE"
    [1] "3" "VVV"
    [1] "3" "EVE"
    [1] "4" "VVV"
    [1] "4" "EVE"
    [1] "5" "VVV"
    [1] "5" "EVE"
    > summary(ax0)
    BIC for each model, number of components (rows), and covariance structure (columns).
     VVV EVE
    1 2651.957 2651.957
    2 2298.563 2463.086
    3 2001.248 1981.470
    4 2030.099 2002.868
    5 2047.946 2018.023
    > ax0
    The model choosen by applying the BIC criteria has 3 component(s) and the EVE covariance structure
     using k-means starts.
    >
    > # use 6 random values for starting values
    > ax6 = gpcm(x2, G=1:5, mnames=c("VVV", "EVE"),start= 2, atol=1e-2)
    
    This application has requested the Runtime to terminate it in an unusual way.
    Please contact the application's support team for more information.
Flavor: r-oldrel-windows-ix86+x86_64