CRAN Package Check Results for Package blockmodeling

Last updated on 2020-02-17 02:47:07 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3.4 16.95 87.59 104.54 OK
r-devel-linux-x86_64-debian-gcc 0.3.6 14.66 67.94 82.60 OK
r-devel-linux-x86_64-fedora-clang 0.3.6 132.79 OK
r-devel-windows-ix86+x86_64 0.3.6 39.00 119.00 158.00 OK
r-devel-windows-ix86+x86_64-gcc8 0.3.4 52.00 159.00 211.00 OK
r-patched-linux-x86_64 0.3.4 16.38 77.97 94.35 OK
r-patched-solaris-x86 0.3.6 154.50 ERROR
r-release-linux-x86_64 0.3.4 16.38 78.43 94.81 OK
r-release-windows-ix86+x86_64 0.3.4 38.00 111.00 149.00 OK
r-release-osx-x86_64 0.3.6 OK
r-oldrel-windows-ix86+x86_64 0.3.4 33.00 106.00 139.00 OK
r-oldrel-osx-x86_64 0.3.6 OK

Check Details

Version: 0.3.6
Check: examples
Result: ERROR
    Running examples in ‘blockmodeling-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: REGE
    > ### Title: REGE - Algorithms for compiting (dis)similarities in terms of
    > ### regular equivalnece
    > ### Aliases: REGE REGE.for REGE.nm.for REGE.ow REGE.ow.for REGE.ownm.for
    > ### REGD.for REGD.ow.for REGE.FC REGE.FC.ow REGD.ne.for REGD.ow.ne.for
    > ### REGE.ne.for REGE.nm.diag.for REGE.nm.ne.for REGE.ow.ne.for
    > ### REGE.ownm.diag.for REGE.ownm.ne.for
    > ### Keywords: cluster graphs
    >
    > ### ** Examples
    >
    > n <- 20
    > net <- matrix(NA, ncol = n, nrow = n)
    > clu <- rep(1:2, times = c(5, 15))
    > tclu <- table(clu)
    > net[clu == 1, clu == 1] <- 0
    > net[clu == 1, clu == 2] <- rnorm(n = tclu[1] * tclu[2], mean = 4, sd = 1) * sample(c(0, 1),
    + size = tclu[1] * tclu[2], replace = TRUE, prob = c(3/5, 2/5))
    > net[clu == 2, clu == 1] <- 0
    > net[clu == 2, clu == 2] <- 0
    >
    > D <- REGE.for(M = net)$E # Any other REGE function can be used
    > plot.mat(net, clu = cutree(hclust(d = as.dist(1 - D), method = "ward.D"),
    + k = 2))
    > # REGE returns similarities, which have to be converted to
    > # disimilarities
    >
    > res <- optRandomParC(M = net, k = 2, rep = 10, approaches = "hom", homFun = "ss", blocks = "reg")
    
    
    Starting optimization of the partiton 1 of 10 partitions.
    Starting partition: 1 2 1 1 1 1 1 1 1 2 2 1 2 2 2 2 2 1 1 1
    
     *** caught segfault ***
    address 6c6990ac, cause 'memory not mapped'
    
    Traceback:
     1: optParC(M = M, clu = temppar, approaches = approaches, blocks = blocks, useMulti = useMulti, save.initial.param = save.initial.param.opt, ...)
     2: optRandomParC(M = net, k = 2, rep = 10, approaches = "hom", homFun = "ss", blocks = "reg")
    An irrecoverable exception occurred. R is aborting now ...
Flavor: r-patched-solaris-x86