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# CITATION.cff 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 "ackwards" in publications use:'
type: software
license: MIT
title: 'ackwards: Bass-Ackwards Hierarchical Structural Analysis'
version: 0.2.0.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ackwards
abstract: Implements Goldberg's (2006) <https://doi.org/10.1016/j.jrp.2006.01.001>
  bass-ackwards method and modern descendants for hierarchical structural analysis.
  Extracts solutions from 1 to k factors using principal component analysis (PCA),
  exploratory factor analysis (EFA), or exploratory structural equation modeling (ESEM)
  engines. It then describes the hierarchy through the correlations between the factor
  scores of different levels. It computes them with linear algebra from the scoring
  weights and the correlation matrix the fit uses, so they are exact for that matrix.
  Waller (2007) <https://doi.org/10.1016/j.jrp.2006.08.005> showed, for principal
  components, that these correlations follow from the correlation matrix alone. Includes
  the Forbes (2023) <https://doi.org/10.1037/met0000546> extension for redundancy
  pruning and all-levels cross-correlations.
authors:
- family-names: Girard
  given-names: Jeffrey M.
  email: me@jmgirard.com
  orcid: https://orcid.org/0000-0002-7359-3746
preferred-citation:
  type: manual
  title: 'ackwards: Bass-Ackwards Hierarchical Structural Analysis'
  authors:
  - family-names: Girard
    given-names: Jeffrey M.
    orcid: https://orcid.org/0000-0002-7359-3746
    email: me@jmgirard.com
  year: '2026'
  notes: R package version 0.2.0.9000
  url: https://github.com/jmgirard/ackwards
repository: https://jmgirard.r-universe.dev
repository-code: https://github.com/jmgirard/ackwards
commit: 51368d3c5ac1ffb8d1cbb00e53d053f92ae7f8ab
url: https://jmgirard.github.io/ackwards/
date-released: '2026-10-06'
contact:
- family-names: Girard
  given-names: Jeffrey M.
  email: me@jmgirard.com
  orcid: https://orcid.org/0000-0002-7359-3746