CRAN Package Check Results for Package ssgraph

Last updated on 2019-06-26 06:47:45 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.8 9.53 24.78 34.31 OK
r-devel-linux-x86_64-debian-gcc 1.8 6.49 18.96 25.45 OK
r-devel-linux-x86_64-fedora-clang 1.8 43.42 OK
r-devel-linux-x86_64-fedora-gcc 1.8 38.66 OK
r-devel-windows-ix86+x86_64 1.8 34.00 59.00 93.00 OK
r-patched-linux-x86_64 1.8 7.68 23.36 31.04 OK
r-patched-solaris-x86 1.8 76.30 OK
r-release-linux-x86_64 1.8 8.15 23.02 31.17 ERROR
r-release-windows-ix86+x86_64 1.8 29.00 78.00 107.00 OK
r-release-osx-x86_64 1.8 ERROR
r-oldrel-windows-ix86+x86_64 1.8 25.00 59.00 84.00 OK
r-oldrel-osx-x86_64 1.8 OK

Check Details

Version: 1.8
Check: examples
Result: ERROR
    Running examples in ‘ssgraph-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: ssgraph
    > ### Title: Algorithm for graphical models using spike-and-slab priors
    > ### Aliases: ssgraph
    >
    > ### ** Examples
    >
    > # Generating multivariate normal data from a 'random' graph
    > data.sim <- bdgraph.sim( n = 80, p = 7, prob = 0.5, vis = TRUE )
    
     *** caught segfault ***
    address 0x19, cause 'memory not mapped'
    
    Traceback:
     1: bdgraph.sim(n = 80, p = 7, prob = 0.5, vis = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    
     *** caught segfault ***
    
     *** caught segfault ***
    address 0x1, cause 'memory not mapped'
    address 0x29, cause 'memory not mapped'
    
    Traceback:
    
    Traceback:
     1: bdgraph.sim(n = 7, p = 7, prob = 0.5, vis = TRUE)
     1: bdgraph.sim(n = 80, p = 7, prob = 0.5, vis = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    An irrecoverable exception occurred. R is aborting now ...
    Segmentation fault
Flavor: r-release-linux-x86_64

Version: 1.8
Check: examples
Result: ERROR
    Running examples in ‘ssgraph-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: ssgraph
    > ### Title: Algorithm for graphical models using spike-and-slab priors
    > ### Aliases: ssgraph
    >
    > ### ** Examples
    >
    > # Generating multivariate normal data from a 'random' graph
    > data.sim <- bdgraph.sim( n = 80, p = 7, prob = 0.5, vis = TRUE )
    >
    > # Running algorithm based on GGMs
    > ssgraph.obj <- ssgraph( data = data.sim, iter = 1000 )
    1000 iteration is started.
     Iteration 1000
    >
    > summary( ssgraph.obj )
    $selected_g
     [,1] [,2] [,3] [,4] [,5] [,6] [,7]
    [1,] 0 0 0 1 1 0 0
    [2,] 0 0 0 0 1 1 1
    [3,] 0 0 0 0 1 0 1
    [4,] 0 0 0 0 0 0 0
    [5,] 0 0 0 0 0 0 1
    [6,] 0 0 0 0 0 0 1
    [7,] 0 0 0 0 0 0 0
    
    $p_links
     [,1] [,2] [,3] [,4] [,5] [,6] [,7]
    [1,] 0 0.36 0.34 1.00 0.91 0.22 0.44
    [2,] 0 0.00 0.37 0.29 1.00 0.98 0.88
    [3,] 0 0.00 0.00 0.40 0.99 0.38 0.55
    [4,] 0 0.00 0.00 0.00 0.28 0.38 0.26
    [5,] 0 0.00 0.00 0.00 0.00 0.34 1.00
    [6,] 0 0.00 0.00 0.00 0.00 0.00 0.62
    [7,] 0 0.00 0.00 0.00 0.00 0.00 0.00
    
    $K_hat
     [,1] [,2] [,3] [,4] [,5] [,6] [,7]
    [1,] 2.31 0.13 0.09 -1.70 0.73 0.00 -0.20
    [2,] 0.13 3.90 0.12 -0.04 -2.51 -1.08 -0.98
    [3,] 0.09 0.12 5.02 0.00 -1.11 -0.15 0.38
    [4,] -1.70 -0.04 0.00 5.27 -0.08 0.03 0.03
    [5,] 0.73 -2.51 -1.11 -0.08 3.98 -0.14 1.69
    [6,] 0.00 -1.08 -0.15 0.03 -0.14 6.34 -0.39
    [7,] -0.20 -0.98 0.38 0.03 1.69 -0.39 4.30
    
    >
    > # To compare the result with true graph
    > compare( data.sim, ssgraph.obj, main=c("True graph", "ssgraph"), vis=TRUE )
    Error in mde(x) : (list) object cannot be coerced to type 'double'
    Calls: compare -> <Anonymous> -> graph.adjacency.dense -> mode<-
    Execution halted
Flavor: r-release-osx-x86_64