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.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 1.0 |
URL | https://github.com/julian-urbano/simIReff/ |
Package repository | View on GitHub |
Installation |
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