Package: BradleyTerryScalable
Type: Package
Title: Fits the Bradley-Terry Model to Potentially Large and Sparse
        Networks of Comparison Data
Version: 0.1.0.9300
Date: 2017
Authors@R: c(
  person("Ella", "Kaye", email = "E.Kaye.1@warwick.ac.uk", role = c("aut", "cre")),
  person("David", "Firth", role = c("aut")))
Author: Ella Kaye [aut, cre], David Firth [aut]
Maintainer: Ella Kaye <E.Kaye.1@warwick.ac.uk>
URL: https://github.com/EllaKaye/BradleyTerryScalable
BugReports: https://github.com/EllaKaye/BradleyTerryScalable/issues
Description: Facilities are provided for fitting the simple,
        unstructured Bradley-Terry model to networks of binary
        comparisons. The implemented methods are designed to scale well
        to large, potentially sparse, networks. A fairly high degree of
        scalability is achieved through the use of EM and MM
        algorithms, which are relatively undemanding in terms of memory
        usage (relative to some other commonly used methods such as
        iterative weighted least squares, for example). Both maximum
        likelihood and Bayesian MAP estimation methods are implemented.
        The package provides various standard methods for a newly
        defined 'btfit' model class, such as the extraction and
        summarisation of model parameters and the simulation of new
        datasets from a fitted model. Tools are also provided for
        reshaping data into the newly defined "btdata" class, and for
        analysing the comparison network, prior to fitting the
        Bradley-Terry model. This package complements, rather than
        replaces, the existing 'BradleyTerry2' package. (BradleyTerry2
        has rather different aims, which are mainly the specification
        and fitting of "structured" Bradley-Terry models in which the
        strength parameters depend on covariates.)
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: igraph, Matrix, Rcpp (>= 1.0.3), methods, purrr, dplyr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.0.2
Suggests: Matrix.utils, stringr, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://ellakaye.r-universe.dev
Date/Publication: 2022-05-29 09:24:04 UTC
RemoteUrl: https://github.com/EllaKaye/BradleyTerryScalable
RemoteRef: HEAD
RemoteSha: 908f5f4887bb48c14c2ea3872b14ad881e452c0a
NeedsCompilation: yes
Packaged: 2026-05-31 06:01:24 UTC; root