Implements a computational framework to predict microbial community-based metabolic profiles with 'O2PLS' model. It provides procedures of model training and prediction. Paired microbiome and metabolome data are needed for modeling, and the trained model can be applied to predict metabolites of analogous environments using new microbial feature abundances.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | magrittr (≥ 2.0.1), OmicsPLS (≥ 2.0.2), utils, stats |
| Suggests: | rmarkdown, knitr, prettydoc, testthat (≥ 3.0.0) |
| Published: | 2022-07-04 |
| DOI: | 10.32614/CRAN.package.MMINP |
| Author: | Wenli Tang |
| Maintainer: | Wenli Tang <1071429394 at qq.com> |
| BugReports: | https://github.com/YuLab-SMU/MMINP/issues |
| License: | GPL (≥ 3.0) |
| URL: | https://github.com/YuLab-SMU/MMINP |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MMINP results |
| Reference manual: | MMINP.html , MMINP.pdf |
| Vignettes: |
MMINP (source, R code) |
| Package source: | MMINP_0.1.0.tar.gz |
| Windows binaries: | r-devel: MMINP_0.1.0.zip, r-release: MMINP_0.1.0.zip, r-oldrel: MMINP_0.1.0.zip |
| macOS binaries: | r-release (arm64): MMINP_0.1.0.tgz, r-oldrel (arm64): MMINP_0.1.0.tgz, r-release (x86_64): MMINP_0.1.0.tgz, r-oldrel (x86_64): MMINP_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MMINP to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.