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parafac4microbiome: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data

Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of longitudinal microbiome data. You can import your own data with our import functions or use one of the example datasets to create your own PARAFAC models. Selection of the optimal number of components can be done using assessModelQuality() and assessModelStability(). The selected model can then be plotted using plotPARAFACmodel(). The Parallel Factor Analysis method was originally described by Caroll and Chang (1970) <doi:10.1007/BF02310791> and Harshman (1970) <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.

Version: 1.0.3
Depends: R (≥ 2.10)
Imports: compositions, cowplot, doParallel, dplyr, foreach, ggplot2, ggpubr, lifecycle, magrittr, methods, mize, multiway, parallel, pracma, rlang, rTensor, stats, tidyr
Suggests: knitr, MicrobiotaProcess, phyloseq, rmarkdown, SummarizedExperiment, testthat (≥ 3.0.0), TreeSummarizedExperiment, withr
Published: 2024-09-24
DOI: 10.32614/CRAN.package.parafac4microbiome
Author: Geert Roelof van der Ploeg ORCID iD [aut, cre], Johan Westerhuis ORCID iD [ctb], Anna Heintz-Buschart ORCID iD [ctb], Age Smilde ORCID iD [ctb], University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <g.r.ploeg at uva.nl>
BugReports: https://github.com/GRvanderPloeg/parafac4microbiome/issues
License: MIT + file LICENSE
URL: https://grvanderploeg.github.io/parafac4microbiome/, https://github.com/GRvanderPloeg/parafac4microbiome
NeedsCompilation: no
Materials: README NEWS
CRAN checks: parafac4microbiome results

Documentation:

Reference manual: parafac4microbiome.pdf
Vignettes: Fujita2023_analysis (source, R code)
PARAFAC_introduction (source, R code)
Shao2019_analysis (source, R code)
vanderPloeg2024_analysis (source, R code)

Downloads:

Package source: parafac4microbiome_1.0.3.tar.gz
Windows binaries: r-devel: parafac4microbiome_1.0.3.zip, r-release: parafac4microbiome_1.0.3.zip, r-oldrel: parafac4microbiome_1.0.3.zip
macOS binaries: r-release (arm64): parafac4microbiome_1.0.3.tgz, r-oldrel (arm64): parafac4microbiome_1.0.3.tgz, r-release (x86_64): parafac4microbiome_1.0.3.tgz, r-oldrel (x86_64): parafac4microbiome_1.0.3.tgz
Old sources: parafac4microbiome archive

Linking:

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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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