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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PCDimension" in publications use:'
type: software
license: Apache-2.0
title: 'PCDimension: Finding the Number of Significant Principal Components'
version: 1.1.13
doi: 10.32614/CRAN.package.PCDimension
abstract: Implements methods to automate the Auer-Gervini graphical Bayesian approach
  for determining the number of significant principal components. Automation uses
  clustering, change points, or simple statistical models to distinguish "long" from
  "short" steps in a graph showing the posterior number of components as a function
  of a prior parameter. See <https://doi.org/10.1101/237883>.
authors:
- family-names: Coombes
  given-names: Kevin R.
  email: krc@silicovore.com
- family-names: Coombes
  given-names: Kevin R.
- family-names: Wang
  given-names: Min
repository: https://bioconductor.org/
repository-code: http://oompa.r-forge.r-project.org/
url: http://oompa.r-forge.r-project.org/
date-released: '2022-06-30'
contact:
- family-names: Coombes
  given-names: Kevin R.
  email: krc@silicovore.com