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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: 1.1-7
doi: 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): <https://doi.org/10.1016/0167-9473(94)90132-5>.
  Uses component weights from one mode of a Parafac or Parafac2 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. 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. Implements parallel
  computing via the ''parallel'' and ''doParallel'' packages.'
authors:
- family-names: Snodgress
  given-names: Matthew A.
  email: mattgress@protonmail.ch
repository: https://CRAN.R-project.org/package=cpfa
date-released: '2025-02-22'
contact:
- family-names: Snodgress
  given-names: Matthew A.
  email: mattgress@protonmail.ch