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) . 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.


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Reference manual

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install.packages("simIReff")

1.0 by Julián Urbano, 8 months ago


https://github.com/julian-urbano/simIReff/


Report a bug at https://github.com/julian-urbano/simIReff/issues


Browse source code at https://github.com/cran/simIReff


Authors: Julián Urbano [aut, cre] , Thomas Nagler [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, graphics, MASS, rvinecopulib, truncnorm, bde, ks, np, extraDistr


See at CRAN