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parafac4microbiome
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Download and install parafac4microbiome package within the R console
Install from CRAN:
install.packages("parafac4microbiome")
Install from Github:
library("remotes")
install_github("cran/parafac4microbiome")
Install by package version:
library("remotes")
install_version("parafac4microbiome", "1.0.2")
Attach the package and use:
library("parafac4microbiome")
Maintained by
Geert Roelof van der Ploeg
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All associated links for this package
First Published: 2024-10-03
Latest Update: 2024-10-03
Description:
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>.
How to cite:
Geert Roelof van der Ploeg (2024). parafac4microbiome: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data. R package version 1.0.2, https://cran.r-project.org/web/packages/parafac4microbiome. Accessed 28 Sep. 2024.
Previous versions and publish date:
1.0.2 (2024-09-17 18:30)
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