Package: simIReff
Type: Package
Title: Stochastic Simulation for Information Retrieval Evaluation:
        Effectiveness Scores
Version: 1.0
Authors@R: c(person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre")),
             person("Thomas", "Nagler", email = "thomas.nagler@tum.de", role = c("ctb")))
Description: Provides tools for the stochastic simulation of
        effectiveness scores to mitigate data-related limitations of
        Information Retrieval evaluation research, as described in
        Urbano and Nagler (2018) <doi:10.1145/3209978.3210043>. These
        tools include: fitting, selection and plotting distributions to
        model system effectiveness, transformation towards a
        prespecified expected value, proxy to fitting of copula models
        based on these distributions, and simulation of new evaluation
        data from these distributions and copula models.
BugReports: https://github.com/julian-urbano/simIReff/issues
URL: https://github.com/julian-urbano/simIReff/
Depends: R (>= 3.4)
Imports: stats, graphics, MASS, rvinecopulib (>= 0.2.8.1.0), truncnorm,
        bde, ks, np, extraDistr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: https://julian-urbano.r-universe.dev
Date/Publication: 2018-07-16 14:42:01 UTC
RemoteUrl: https://github.com/julian-urbano/simireff
RemoteRef: HEAD
RemoteSha: 2c38960ba14db9fbe200cb1a111f4ecfec901efa
NeedsCompilation: no
Packaged: 2026-07-04 13:39:22 UTC; root
Author: Julián Urbano [aut, cre],
  Thomas Nagler [ctb]
Maintainer: Julián Urbano <urbano.julian@gmail.com>