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Multimodal mediation analysis is an emerging problem in microbiome data analysis. Multimedia make advanced mediation analysis techniques easy to use, ensuring that all statistical components are transparent and adaptable to specific problem contexts. The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval construction, and sensitivity analysis. More details are available in Jiang et al. (2024) "multimedia: Multimodal Mediation Analysis of Microbiome Data" <doi:10.1101/2024.03.27.587024>.
Version: | 0.2.0 |
Depends: | R (≥ 4.1.0), brms, glmnetUtils, ranger, tidyselect |
Imports: | MASS, S4Vectors, SummarizedExperiment, cli, dplyr, fansi, formula.tools, ggplot2, glue, methods, miniLNM, patchwork, phyloseq, progress, purrr, rlang, stats, tidygraph, tidyr |
Suggests: | compositions, ggdist, ggraph, ggrepel, knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse, vroom |
Published: | 2024-09-18 |
DOI: | 10.32614/CRAN.package.multimedia |
Author: | Kris Sankaran [aut, cre], Hanying Jiang [aut] |
Maintainer: | Kris Sankaran <ksankaran at wisc.edu> |
BugReports: | https://github.com/krisrs1128/multimedia/issues/ |
License: | CC0 |
URL: | https://krisrs1128.github.io/multimedia/, https://github.com/krisrs1128/multimedia/ |
NeedsCompilation: | no |
Citation: | multimedia citation info |
Materials: | README NEWS |
CRAN checks: | multimedia results |
Reference manual: | multimedia.pdf |
Vignettes: |
Illustration with Nonlinear Effects (source, R code) Quick Start with Random Data (source, R code) |
Package source: | multimedia_0.2.0.tar.gz |
Windows binaries: | r-devel: multimedia_0.2.0.zip, r-release: multimedia_0.2.0.zip, r-oldrel: multimedia_0.2.0.zip |
macOS binaries: | r-release (arm64): multimedia_0.2.0.tgz, r-oldrel (arm64): multimedia_0.2.0.tgz, r-release (x86_64): multimedia_0.2.0.tgz, r-oldrel (x86_64): multimedia_0.2.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=multimedia 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.