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Provides interpretable high-dimensional mean comparison methods (HMC). For example, users can apply these methods to assess the difference in gene expression between two treatment groups. It is not a gene-by-gene comparison. Instead, the methods focus on the interplay between features and identify those that are predictive of the group label. The tests are valid frequentist procedures and yield sparse estimates indicating which features contribute to the group differences.
| Version: | 1.2 |
| Imports: | glmnet, irlba, PMA, MASS, stats, grpreg |
| Published: | 2025-05-02 |
| DOI: | 10.32614/CRAN.package.HMC |
| Author: | Tianyu Zhang [aut, cre, cph] |
| Maintainer: | Tianyu Zhang <tianyuz3 at andrew.cmu.edu> |
| License: | GPL-2 |
| URL: | https://github.com/terrytianyuzhang/HMC/tree/main/HMC_package |
| NeedsCompilation: | no |
| CRAN checks: | HMC results |
| Reference manual: | HMC.pdf |
| Package source: | HMC_1.2.tar.gz |
| Windows binaries: | r-devel: HMC_1.2.zip, r-release: HMC_1.2.zip, r-oldrel: HMC_1.2.zip |
| macOS binaries: | r-release (arm64): HMC_1.2.tgz, r-oldrel (arm64): HMC_1.2.tgz, r-release (x86_64): HMC_1.2.tgz, r-oldrel (x86_64): HMC_1.2.tgz |
| Old sources: | HMC archive |
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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.
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