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simIReff: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores

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:

Reference manual: simIReff.pdf

Downloads:

Package source: simIReff_1.0.tar.gz
Windows binaries: r-devel: simIReff_1.0.zip, r-release: simIReff_1.0.zip, r-oldrel: simIReff_1.0.zip
macOS binaries: r-release (arm64): simIReff_1.0.tgz, r-oldrel (arm64): simIReff_1.0.tgz, r-release (x86_64): simIReff_1.0.tgz, r-oldrel (x86_64): simIReff_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simIReff to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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