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Computes the 'InterModel Vigorish' ('IMV'), a metric for comparing the predictive accuracy of two models for binary outcomes. The 'IMV' is derived from the expected value of a bettor using one model's predicted probabilities against those of a competing model, and is estimated via k-fold cross-validation. Methods are provided for generalized linear models, mixed-effects models ('lme4'), and item response theory models ('mirt'). See <doi:10.1371/journal.pone.0316491>.
| Version: | 0.3 |
| Depends: | R (≥ 3.5.0) |
| Suggests: | lme4, mirt, testthat (≥ 3.0.0) |
| Published: | 2026-05-11 |
| DOI: | 10.32614/CRAN.package.imv |
| Author: | Ben Domingue [aut, cre], Christian Jackson [ctb] |
| Maintainer: | Ben Domingue <ben.domingue at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | imv results |
| Reference manual: | imv.html , imv.pdf |
| Package source: | imv_0.3.tar.gz |
| Windows binaries: | r-devel: imv_0.3.zip, r-release: imv_0.3.zip, r-oldrel: imv_0.3.zip |
| macOS binaries: | r-release (arm64): imv_0.3.tgz, r-oldrel (arm64): imv_0.3.tgz, r-release (x86_64): imv_0.3.tgz, r-oldrel (x86_64): imv_0.3.tgz |
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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.