The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 1.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | MASS, SIS, glmnet, ncvreg, MBESS, survival, dplyr |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-08-01 |
| 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 |
| Materials: | NEWS |
| CRAN checks: | multiModTest results |
| Reference manual: | multiModTest.html , multiModTest.pdf |
| Package source: | multiModTest_1.1.tar.gz |
| Windows binaries: | r-devel: multiModTest_1.1.zip, r-release: multiModTest_1.1.zip, r-oldrel: multiModTest_1.1.zip |
| macOS binaries: | r-release (arm64): multiModTest_1.1.tgz, r-oldrel (arm64): multiModTest_1.1.tgz, r-release (x86_64): multiModTest_1.1.tgz, r-oldrel (x86_64): multiModTest_1.1.tgz |
| Old sources: | multiModTest archive |
Please use the canonical form https://CRAN.R-project.org/package=multiModTest to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.