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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0 by Julián Urbano, 3 years ago

Report a bug at

Browse source code at

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