HMC: High Dimensional Mean Comparison with Projection and Cross-Fitting

Provides interpretable High-dimensional Mean Comparison methods (HMC). For example, users can use them to assess the difference in gene expression between two treatment groups. It is not a gene-by-gene comparison. Instead, we focus on the interplay between features and are interested in those that are predictive of the group label. The methods are valid frequentist tests and give sparse estimates indicating which features contribute to the test results.

Version: 1.0
Imports: glmnet, irlba, PMA, MASS, stats
Published: 2024-03-09
DOI: 10.32614/CRAN.package.HMC
Author: Tianyu Zhang [aut, cre, cph]
Maintainer: Tianyu Zhang <tianyuz3 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: HMC results


Reference manual: HMC.pdf


Package source: HMC_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): HMC_1.0.tgz, r-oldrel (arm64): HMC_1.0.tgz, r-release (x86_64): HMC_1.0.tgz, r-oldrel (x86_64): HMC_1.0.tgz


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