An implementation of the metrics dief@t and dief@k to measure the diefficiency (or continuous efficiency) of incremental approaches, see Acosta, M., Vidal, M. E., & Sure-Vetter, Y. (2017) <doi:10.1007/978-3-319-68204-4_1>. The metrics dief@t and dief@k allow for measuring the diefficiency during an elapsed time period t or while k answers are produced, respectively. dief@t and dief@k rely on the computation of the area under the curve of answer traces, and thus capturing the answer rate concentration over a time interval.
| Version: | 1.2 |
| Imports: | flux, fmsb, ggplot2, plyr, graphics, utils |
| Published: | 2019-02-28 |
| Author: | Maribel Acosta |
| Maintainer: | Maribel Acosta <maribel.acosta at kit.edu> |
| BugReports: | https://github.com/maribelacosta/dief/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/maribelacosta/dief |
| NeedsCompilation: | no |
| CRAN checks: | dief results |
| Reference manual: | dief.pdf |
| Package source: | dief_1.2.tar.gz |
| Windows binaries: | r-devel: dief_1.2.zip, r-release: dief_1.2.zip, r-oldrel: dief_1.2.zip |
| macOS binaries: | r-release: dief_1.2.tgz, r-oldrel: dief_1.2.tgz |
| Old sources: | dief archive |
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