multiModTest: Information Assessment for Individual Modalities in Multimodal Regression Models

Provides methods for quantifying the information gain contributed by individual modalities in multimodal regression models. Information gain is measured using Expected Relative Entropy (ERE) or pseudo-R² metrics, with corresponding p-values and confidence intervals. Currently supports linear and logistic regression models with plans for extension to additional Generalized Linear Models and Cox proportional hazard model.

Version:	1.0
Depends:	R (≥ 3.6.0)
Imports:	tidyverse, MASS, SIS, glmnet, ncvreg, MBESS, survival, dplyr
Published:	2025-09-03
DOI:	10.32614/CRAN.package.multiModTest
Author:	Wanting Jin [aut, cre], Quefeng Li [aut]
Maintainer:	Wanting Jin <jinwanting5 at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	multiModTest results

Documentation:

Reference manual:

multiModTest.html , multiModTest.pdf

Downloads:

Package source:	multiModTest_1.0.tar.gz
Windows binaries:	r-devel: multiModTest_1.0.zip, r-release: not available, r-oldrel: multiModTest_1.0.zip
macOS binaries:	r-release (arm64): multiModTest_1.0.tgz, r-oldrel (arm64): multiModTest_1.0.tgz, r-release (x86_64): multiModTest_1.0.tgz, r-oldrel (x86_64): multiModTest_1.0.tgz

Linking:

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