imv: Model Comparison via the 'InterModel Vigorish' ('IMV')
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 (may not be active yet) |
| 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 |
Documentation:
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