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.
Version: 1.0 Depends: R (≥ 3.4) Imports: stats, graphics, MASS, rvinecopulib (≥ 0.2.8.1.0), truncnorm, bde, ks, np, extraDistr Published: 2018-06-15 DOI: 10.32614/CRAN.package.simIReff Author: Julián Urbano [aut, cre], Thomas Nagler [ctb] Maintainer: Julián Urbano <urbano.julian at gmail.com> BugReports: https://github.com/julian-urbano/simIReff/issues License: MIT + file LICENSE URL: https://github.com/julian-urbano/simIReff/ NeedsCompilation: no CRAN checks: simIReff results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=simIReff to link to this page.
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