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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.
Getting started
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Package details |
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| Author | Julián Urbano [aut, cre], Thomas Nagler [ctb] |
| Maintainer | Julián Urbano <urbano.julian@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0 |
| URL | https://github.com/julian-urbano/simIReff/ |
| Package repository | View on CRAN |
| Installation |
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