CRAN Package Check Results for Package mcPAFit

Last updated on 2016-10-24 23:48:22.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.3 10.38 18.40 28.78 OK
r-devel-linux-x86_64-debian-gcc 0.1.3 10.90 18.59 29.49 OK
r-devel-linux-x86_64-fedora-clang 0.1.3 60.14 OK
r-devel-linux-x86_64-fedora-gcc 0.1.3 57.56 OK
r-devel-macos-x86_64-clang 0.1.3 41.78 OK
r-devel-windows-ix86+x86_64 0.1.3 54.00 64.00 118.00 OK
r-patched-linux-x86_64 0.1.3 9.63 17.23 26.85 OK
r-patched-solaris-sparc 0.1.3 286.50 ERROR
r-patched-solaris-x86 0.1.3 71.30 ERROR
r-release-linux-x86_64 0.1.3 9.57 17.20 26.76 OK
r-release-osx-x86_64-mavericks 0.1.3 OK
r-release-windows-ix86+x86_64 0.1.3 44.00 46.00 90.00 OK
r-oldrel-windows-ix86+x86_64 0.1.3 20.00 4.00 24.00 ERROR

Check Details

Version: 0.1.3
Check: examples
Result: ERROR
    Running examples in ‘mcPAFit-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: mcPAFit
    > ### Title: estimates the Preferential Attachment function in a temporal
    > ### complex network without temporal information.
    > ### Aliases: mcPAFit
    > ### Keywords: package Preferential Attachment function Markov chain Monte
    > ### Carlo Gibbs sampling missing timeline
    >
    > ### ** Examples
    >
    > library(mcPAFit)
    > N <- 1000 #number of nodes in the network
    > M <- 500 #number of needed sample
    > lag <- 1
    > start <- 100
    >
    > data <- create_sim_data(N = N, alpha = 1)
    > write.table(data$random[,1:2], row.names = FALSE,
    + col.names = FALSE, file = "input.txt")
    > system.time(mcPAFit(file_name = "input.txt",burn_in = 0, s = 5, skip = 1,
    + needed_sample = M, G = 20,only_active_node = 1, random = 0))
    terminate called after throwing an instance of 'std::out_of_range'
     what(): vector::_M_range_check: __n (which is 7) >= this->size() (which is 0)
Flavor: r-patched-solaris-sparc

Version: 0.1.3
Check: examples
Result: ERROR
    Running examples in ‘mcPAFit-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: mcPAFit
    > ### Title: estimates the Preferential Attachment function in a temporal
    > ### complex network without temporal information.
    > ### Aliases: mcPAFit
    > ### Keywords: package Preferential Attachment function Markov chain Monte
    > ### Carlo Gibbs sampling missing timeline
    >
    > ### ** Examples
    >
    > library(mcPAFit)
    > N <- 1000 #number of nodes in the network
    > M <- 500 #number of needed sample
    > lag <- 1
    > start <- 100
    >
    > data <- create_sim_data(N = N, alpha = 1)
    > write.table(data$random[,1:2], row.names = FALSE,
    + col.names = FALSE, file = "input.txt")
    > system.time(mcPAFit(file_name = "input.txt",burn_in = 0, s = 5, skip = 1,
    + needed_sample = M, G = 20,only_active_node = 1, random = 0))
    terminate called after throwing an instance of 'std::out_of_range'
     what(): vector::_M_range_check: __n (which is 73) >= this->size() (which is 0)
Flavor: r-patched-solaris-x86

Version: 0.1.3
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-windows-ix86+x86_64