Package: POSetR
Type: Package
Title: Partially Ordered Sets in R
Version: 1.1.4
Date: 2023-12-04
Authors@R: c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@uniroma1.it"), person("Alessandro", "Avellone", role = c("aut"), email = "alessandro.avellone@unimib.it"), person("Marco", "Fattore", role = c("aut"), email = "marco.fattore@unimib.it"))
Author: Alberto Arcagni [aut, cre], Alessandro Avellone [aut], Marco
        Fattore [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@uniroma1.it>
Description: Provides a set of basic tools for generating, analyzing,
        summarizing and visualizing finite partially ordered sets. In
        particular, it implements flexible and very efficient
        algorithms for the extraction of linear extensions and for the
        computation of mutual ranking probabilities and other
        user-defined functionals, over them. The package is meant as a
        computationally efficient "engine", for the implementation of
        data analysis procedures, on systems of multidimensional
        ordinal indicators and partially ordered data, in the spirit of
        Fattore, M. (2016) "Partially ordered sets and the measurement
        of multidimensional ordinal deprivation", Social Indicators
        Research <DOI:10.1007/s11205-015-1059-6>, and Fattore M. and
        Arcagni, A. (2018) "A reduced posetic approach to the
        measurement of multidimensional ordinal deprivation", Social
        Indicators Research <DOI:10.1007/s11205-016-1501-4>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.0), igraph, methods, Rdpack
RdMacros: Rdpack
LinkingTo: Rcpp
SystemRequirements: C++17
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-17 08:06:43 UTC; root
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://albertoarcagni.r-universe.dev
Date/Publication: 2023-12-05 02:39:38 UTC
RemoteUrl: https://github.com/cran/POSetR
RemoteRef: HEAD
RemoteSha: 062567b6451485102e87e71c77aae9fffe1c1a23