parafac4microbiome
1.3.2Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
Overview
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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Repository practices
7 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/grvanderploeg/parafac4microbiome on 2026-07-19.
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Dependencies
Code & Tests
- Cyclomatic complexity
- 5.5 median / 30 max
- Test cases
- 142 / 0.62 per code line
Test coverage
Line coverage
89%
Expression
89.0%
Tests / Examples
89.1% / 79% ex
Functions
30 29 exported
Complexity
6.7 avg / 30 max
Call network
30 nodes / 29 edges
Call graph
Open call graph →Lowest coverage
30 functions| Function | Cyclo | Coverage |
|---|---|---|
| importPhyloseq exp | 8 | 0% |
| importTreeSummarizedExperiment exp | 12 | 0% |
| ignore_unused_imports | 1 | 0% |
| vect_to_fac exp | 7 | 74% |
| processDataCube exp | 5 | 86% |
| parafac_fun exp | 4 | 92% |
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2024-09-17
- Total releases
- 5 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.5 MB / 3 files
- Download size
- 2.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet