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", "1.0.3")



Attach the package and use:
library("parafac4microbiome")
Maintained by
Geert Roelof van der Ploeg
[Scholar Profile | Author Map]
First Published: 2024-09-17
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 1.0.3, https://cran.r-project.org/web/packages/parafac4microbiome. Accessed 14 Apr. 2025.
Previous versions and publish date:
1.0.2 (2024-09-17 18:30), 1.0.3 (2024-09-24 17:00)
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
03/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/13Downloads for parafac4microbiome05101520253035404550TrendBars

Today's Hot Picks in Authors and Packages

bcf  
Causal Inference using Bayesian Causal Forests
Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Ha ...
Download / Learn more Package Citations See dependency  
AzureKeyVault  
Key and Secret Management in 'Azure'
Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: ...
Download / Learn more Package Citations See dependency  
mlim  
Single and Multiple Imputation with Automated Machine Learning
Machine learning algorithms have been used for performing single missing data imputation and most r ...
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  
networkscaleup  
Network Scale-Up Models for Aggregated Relational Data
Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, ...
Download / Learn more Package Citations See dependency  
spatstat.utils  
Utility Functions for 'spatstat'
Contains utility functions for the 'spatstat' family of packages which may also be useful for other ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

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