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: 2026-10-14 09:29:05 UTC; root
Author: Wanting Jin [aut, cre], Quefeng Li [aut]
Maintainer: Wanting Jin <jinwanting5@gmail.com>
LazyData: true
Config/pak/sysreqs: cmake make
Repository: https://wan-ting-jin.r-universe.dev
Date/Publication: 2026-08-01 02:50:02 UTC
RemoteUrl: https://github.com/cran/multiModTest
RemoteRef: HEAD
RemoteSha: 3746ad42195d6358e3885354919189a67364af39