Package: bmotif
Title: Motif Analyses of Bipartite Networks
Version: 2.0.2
Date: 2020-09-04
Authors@R: c(
    person("Benno", "Simmons", email = "benno.simmons@gmail.com", role = c("aut", "cre")),
    person("Michelle", "Sweering", email = "michelle.sweering@gmail.com", role = c("aut")),
    person("Maybritt", "Schillinger", email = "maybritt.schillinger@gmail.com", role = c("aut")),
    person("Riccardo", "Di Clemente", email = "rdicle@mit.edu", role = c("aut")))
Description: Counts occurrences of motifs in bipartite networks, as well as the number of
    times each node or link appears in each unique position within motifs. Has support for both
    binary and weighted motifs: can calculate the mean weight of motifs and the standard deviation 
    of their mean weights. Intended for use in ecology, but its methods are general and can be
    applied to any bipartite network. Full details are given in Simmons et al. (2019)
    <doi:10.1111/2041-210X.13149>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: tensor (>= 1.5), Rcpp (>= 0.12.18), reshape2 (>= 1.4.3),
        gtools (>= 3.8.1), stats (>= 3.5.0)
Suggests: testthat, knitr, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: yes
Packaged: 2020-09-04 10:20:35 UTC; bennosimmons
Author: Benno Simmons [aut, cre],
  Michelle Sweering [aut],
  Maybritt Schillinger [aut],
  Riccardo Di Clemente [aut]
Maintainer: Benno Simmons <benno.simmons@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-11 09:40:06 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 05:01:28 UTC; windows
Archs: i386, x64
