multiModTest (version 1.0)
Information Assessment for Individual Modalities in Multimodal
Regression Models
Description
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.