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cff-version: 1.2.0
message: 'To cite package "parafac4microbiome" in publications use:'
type: software
license: MIT
title: 'parafac4microbiome: Parallel Factor Analysis Modelling of Longitudinal Microbiome
  Data'
version: 1.0.3
doi: 10.32614/CRAN.package.parafac4microbiome
abstract: 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) <https://doi.org/10.1007/BF02310791>
  and Harshman (1970) <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.
authors:
- family-names: Ploeg
  given-names: Geert Roelof
  name-particle: van der
  email: g.r.ploeg@uva.nl
  orcid: https://orcid.org/0009-0007-5204-3386
repository: https://grvanderploeg.r-universe.dev
repository-code: https://github.com/GRvanderPloeg/parafac4microbiome
commit: a38bc8b4a0c6136d72ca39fe24f328597f741922
url: https://grvanderploeg.github.io/parafac4microbiome/
contact:
- family-names: Ploeg
  given-names: Geert Roelof
  name-particle: van der
  email: g.r.ploeg@uva.nl
  orcid: https://orcid.org/0009-0007-5204-3386