# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "cpfa" in publications use:' type: software license: GPL-2.0-or-later title: 'cpfa: Classification with Parallel Factor Analysis' version: 1.3.0 identifiers: - type: doi value: 10.32614/CRAN.package.cpfa abstract: 'Classification using Richard A. Harshman''s Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): . Classification using principal component analysis (PCA) fit to a two-way data matrix is also supported. Uses component weights from one mode of a Parafac, Parafac2, or PCA model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Allows for inclusion of additional features alongside features generated by the component model. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Uses the ''clue'' package to align Parafac or Parafac2 models across data splits in the cross-validation procedure. Calculates classification importance of individual features using permutation feature importance. Implements parallel computing via the ''foreach'', ''doParallel'', and ''doRNG'' packages.' authors: - family-names: Asisgress given-names: Matthew A. email: mattgress@protonmail.ch orcid: https://orcid.org/0000-0001-7294-3348 preferred-citation: type: manual title: 'cpfa: Classification with Parallel Factor Analysis' authors: - family-names: Asisgress given-names: Matthew year: '2026' notes: R package version 1.3.0 url: https://CRAN.R-project.org/package=cpfa repository: https://matthewasisgress.r-universe.dev repository-code: https://github.com/matthewasisgress/cpfa commit: 1789863b08b7f38137b92dc6c9d4000dc4d3474a url: https://github.com/matthewasisgress/cpfa date-released: '2026-06-03' contact: - family-names: Asisgress given-names: Matthew A. email: mattgress@protonmail.ch orcid: https://orcid.org/0000-0001-7294-3348