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 07 Mar. 2026.
Previous versions and publish date:
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

ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
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  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

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