# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "multiModTest" in publications use:' type: software license: GPL-3.0-only title: 'multiModTest: Information Assessment for Individual Modalities in Multimodal Regression Models' version: '1.1' doi: 10.32614/CRAN.package.multiModTest abstract: 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. authors: - family-names: Jin given-names: Wanting email: jinwanting5@gmail.com - family-names: Li given-names: Quefeng email: quefeng@email.unc.edu repository: https://wan-ting-jin.r-universe.dev commit: 3746ad42195d6358e3885354919189a67364af39 date-released: '2026-08-01' contact: - family-names: Jin given-names: Wanting email: jinwanting5@gmail.com