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 |
| 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:
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