Other packages > Find by keyword >

parafac4microbiome  

Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
View on CRAN: Click here


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", "1.3.2")



Attach the package and use:
library("parafac4microbiome")
Maintained by
Geert Roelof van der Ploeg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-17
Latest Update: 2025-07-31
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 1.3.2, https://cran.r-project.org/web/packages/parafac4microbiome. Accessed 12 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 1.0.2 (2024-09-17 18:30), 1.0.3 (2024-09-24 17:00), 1.1.2 (2025-03-22 01:00), 1.2.1 (2025-05-20 09:50)
Other packages that cited parafac4microbiome R package
View parafac4microbiome citation profile
Other R packages that parafac4microbiome depends, imports, suggests or enhances
Complete documentation for parafac4microbiome
Functions, R codes and Examples using the parafac4microbiome R package
Full parafac4microbiome package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ipdw  
Spatial Interpolation by Inverse Path Distance Weighting
Functions are provided to interpolate geo-referenced point data via Inverse Path Distance Weighting ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
quickcheck  
Property Based Testing
Property based testing, inspired by the original 'QuickCheck'. This package builds on the property ...
Download / Learn more Package Citations See dependency  
flexdashboard  
R Markdown Format for Flexible Dashboards
Format for converting an R Markdown document to a grid oriented dashboard. The dashboard flexibly a ...
Download / Learn more Package Citations See dependency  
keyplayer  
Locating Key Players in Social Networks
Computes group centrality scores and identifies the most central group of players in a network. ...
Download / Learn more Package Citations See dependency  
spatstat.random  
Random Generation Functionality for the 'spatstat' Family
Functionality for random generation of spatial data in the 'spatstat' family of packages. Generate ...
Download / Learn more Package Citations See dependency  

28,313

R Packages

239,283

Dependencies

74,752

Author Associations

28,314

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA