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imv  

Model Comparison via the 'InterModel Vigorish' ('IMV')
View on CRAN: Click here


Download and install imv package within the R console
Install from CRAN:
install.packages("imv")

Install from Github:
library("remotes")
install_github("cran/imv")

Install by package version:
library("remotes")
install_version("imv", "0.3")



Attach the package and use:
library("imv")
Maintained by
Ben Domingue
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-11
Latest Update: 2026-05-11
Description:
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>.
How to cite:
Ben Domingue (2026). imv: Model Comparison via the 'InterModel Vigorish' ('IMV'). R package version 0.3, https://cran.r-project.org/web/packages/imv. Accessed 26 Oct. 2026.
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Complete documentation for imv
Functions, R codes and Examples using the imv R package
Full imv package functions and examples
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