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.
A suite of functions for performing mediation analysis with high-dimensional mediators. In addition to centralizing code from several existing packages for high-dimensional mediation analysis, we provide organized, well-documented functions for a handle of methods which, though programmed their original authors, have not previously been formalized into R packages or been made presentable for public use. The methods we include cover a broad array of approaches and objectives, and are described in detail by both our companion manuscript—"Methods for Mediation Analysis with High-Dimensional DNA Methylation Data: Possible Choices and Comparison"—and the original publications that proposed them. The specific methods offered by our package include the Bayesian sparse linear mixed model (BSLMM) by Song et al. (2019); high-dimensional mediation analysis (HDMA) by Gao et al. (2019); high-dimensional multivariate mediation (HDMM) by Chén et al. (2018); high-dimensional linear mediation analysis (HILMA) by Zhou et al. (2020); high-dimensional mediation analysis (HIMA) by Zhang et al. (2016); latent variable mediation analysis (LVMA) by Derkach et al. (2019); mediation by fixed-effect model (MedFix) by Zhang (2021); pathway LASSO by Zhao & Luo (2022); principal component mediation analysis (PCMA) by Huang & Pan (2016); and sparse principal component mediation analysis (SPCMA) by Zhao et al. (2020). Citations for the corresponding papers can be found in their respective functions.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | bama (≥ 1.3.0), foreach (≥ 1.5.2), freebird (≥ 1.0), gcdnet (≥ 1.0.6), genlasso (≥ 1.6.1), hdi (≥ 0.1.9), iterators (≥ 1.0.14), MASS, mediation (≥ 4.5.0), ncvreg (≥ 3.13.0), stats, utils |
| Published: | 2024-05-15 |
| DOI: | 10.32614/CRAN.package.hdmed |
| Author: | Dylan Clark-Boucher [aut, cre], Mike Kleinsasser [aut] |
| Maintainer: | Dylan Clark-Boucher <dclarkboucher at fas.harvard.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | hdmed citation info |
| Materials: | README |
| CRAN checks: | hdmed results |
| Reference manual: | hdmed.pdf |
| Package source: | hdmed_1.0.1.tar.gz |
| Windows binaries: | r-devel: hdmed_1.0.1.zip, r-release: hdmed_1.0.1.zip, r-oldrel: hdmed_1.0.1.zip |
| macOS binaries: | r-release (arm64): hdmed_1.0.1.tgz, r-oldrel (arm64): hdmed_1.0.1.tgz, r-release (x86_64): hdmed_1.0.1.tgz, r-oldrel (x86_64): hdmed_1.0.1.tgz |
| Old sources: | hdmed archive |
Please use the canonical form https://CRAN.R-project.org/package=hdmed 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.