DESCRIPTION

Package: netrankr
Type: Package
Title: Analyzing Partial Rankings in Networks
Version: 1.2.3
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: 7.2.3
Roxygen: list(markdown = TRUE)
Suggests: 
    knitr,
    rmarkdown,
    magrittr,
    testthat,
    shiny (>= 0.13),
    miniUI (>= 0.1.1),
    rstudioapi (>= 0.5),
    covr
VignetteBuilder: knitr