Package: multiModTest
Type: Package
Title: Information Assessment for Individual Modalities in Multimodal
        Regression Models
Version: 1.1
Authors@R: c(
    person("Wanting", "Jin", email = "jinwanting5@gmail.com", role = c("aut", "cre")),
    person("Quefeng", "Li", email = "quefeng@email.unc.edu", role = "aut")
    )
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 confidence 
	intervals. Currently supports linear regression, logistic regression, and the Cox proportional
	hazards model. A robust Median-of-Means based estimator is also provided
	for heavy-tailed responses under the Gaussian and Negative-Binomial families, with basic
	bootstrap confidence intervals.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: MASS, SIS, glmnet, ncvreg, MBESS, survival, dplyr
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2026-08-01 01:11:49 UTC; 10518
Author: Wanting Jin [aut, cre],
  Quefeng Li [aut]
Maintainer: Wanting Jin <jinwanting5@gmail.com>
LazyData: true
Repository: CRAN
Date/Publication: 2026-08-01 02:50:02 UTC
Built: R 4.5.3; ; 2026-08-22 04:47:01 UTC; windows
