The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | simIReff.pdf |
| Package source: | simIReff_1.0.tar.gz |
| Windows binaries: | r-devel: simIReff_1.0.zip, r-release: simIReff_1.0.zip, r-oldrel: simIReff_1.0.zip |
| macOS binaries: | r-release (arm64): simIReff_1.0.tgz, r-oldrel (arm64): simIReff_1.0.tgz, r-release (x86_64): simIReff_1.0.tgz, r-oldrel (x86_64): simIReff_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=simIReff to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.