Package: netrankr
Type: Package
Title: Analyzing Partial Rankings in Networks
Version: 1.2.4
Authors@R: c(
    person("David", "Schoch", email = "david@schochastics.net", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2952-4812")),
    person("Julian","Müller", email = "julian.mueller@gess.ethz.ch", role = "ctb"))
Description: Implements methods for centrality related analyses of
        networks. While the package includes the possibility to build
        more than 20 indices, its main focus lies on index-free
        assessment of centrality via partial rankings obtained by
        neighborhood-inclusion or positional dominance. These partial
        rankings can be analyzed with different methods, including
        probabilistic methods like computing expected node ranks and
        relative rank probabilities (how likely is it that a node is
        more central than another?). The methodology is described in
        depth in the vignettes and in Schoch (2018)
        <doi:10.1016/j.socnet.2017.12.003>.
URL: https://github.com/schochastics/netrankr/,
        https://schochastics.github.io/netrankr/
BugReports: https://github.com/schochastics/netrankr/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.1)
Imports: igraph (>= 1.0.1), Rcpp (>= 0.12.8), Matrix
LinkingTo: Rcpp,RcppArmadillo
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Suggests: knitr, rmarkdown, magrittr, testthat, shiny (>= 0.13), miniUI
        (>= 0.1.1), rstudioapi (>= 0.5), covr
VignetteBuilder: knitr
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://schochastics.r-universe.dev
Date/Publication: 2025-09-23 19:42:01 UTC
RemoteUrl: https://github.com/schochastics/netrankr
RemoteRef: HEAD
RemoteSha: 64282f46c1c25d94cdb6ff7e24718e29d6a0cd36
NeedsCompilation: yes
Packaged: 2026-06-10 08:06:40 UTC; root
Author: David Schoch [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2952-4812>),
  Julian Müller [ctb]
Maintainer: David Schoch <david@schochastics.net>