Package: imv 0.3

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 Domingue et al. (2025) <doi:10.1371/journal.pone.0316491>.

Authors:Ben Domingue [aut, cre], Christian Jackson [ctb]

imv_0.3.tar.gz
imv_0.3.zip(r-4.7)imv_0.3.zip(r-4.6)imv_0.3.zip(r-4.5)
imv_0.3.tgz(r-4.6-any)imv_0.3.tgz(r-4.5-any)
imv_0.3.tar.gz(r-4.7-any)imv_0.3.tar.gz(r-4.6-any)
imv_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
imv/json (API)
NEWS

# Install 'imv' in R:
install.packages('imv', repos = c('https://ben-domingue.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ben-domingue/imv/issues

On CRAN:

Conda:

4.28 score 4 stars 16 scripts 4 exports 0 dependencies

Last updated from:4af3fb05c6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK210
linux-release-x86_64OK131
macos-release-arm64OK194
macos-oldrel-arm64OK176
windows-develOK105
windows-releaseOK90
windows-oldrelOK102
wasm-releaseOK109

Exports:imvimv.binaryimv0glmimvglm.rmvar

Dependencies: