CRAN Package Check Results for Package blockmodeling

Last updated on 2020-10-01 20:47:22 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.0 18.41 98.83 117.24 OK
r-devel-linux-x86_64-debian-gcc 1.0.0 15.36 74.75 90.11 OK
r-devel-linux-x86_64-fedora-clang 1.0.0 146.86 OK
r-devel-linux-x86_64-fedora-gcc 1.0.0 137.96 OK
r-devel-windows-ix86+x86_64 1.0.0 45.00 153.00 198.00 OK
r-patched-linux-x86_64 1.0.0 17.59 91.01 108.60 OK
r-patched-solaris-x86 1.0.0 179.90 ERROR
r-release-linux-x86_64 1.0.0 19.35 91.60 110.95 OK
r-release-macos-x86_64 1.0.0 OK
r-release-windows-ix86+x86_64 1.0.0 56.00 154.00 210.00 OK
r-oldrel-macos-x86_64 1.0.0 OK
r-oldrel-windows-ix86+x86_64 1.0.0 45.00 203.00 248.00 OK

Check Details

Version: 1.0.0
Check: examples
Result: ERROR
    Running examples in ‘blockmodeling-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: REGE.FC
    > ### Title: REGE - Algorithms for compiting (dis)similarities in terms of
    > ### regular equivalnece
    > ### Aliases: REGE.FC REGE.FC.ow REGE REGE.ow REGE.for REGD.for REGE.ow.for
    > ### REGD.ow.for REGE.ownm.for REGE.ownm.diag.for REGE.nm.for
    > ### REGE.nm.diag.for REGE.ne.for REGE.ow.ne.for REGE.ownm.ne.for
    > ### REGE.nm.ne.for REGD.ne.for REGD.ow.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 876d4e7c, 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