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cpfa
View on CRAN: Click
here
Download and install cpfa package within the R console
Install from CRAN:
install.packages("cpfa")
Install from Github:
library("remotes")
install_github("cran/cpfa") Install by package version:
library("remotes")
install_version("cpfa", "1.3.3") Attach the package and use:
library("cpfa")
Maintained by
Matthew A. Snodgress
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-09
Latest Update: 2025-07-08
Description:
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): . 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.
How to cite:
Matthew A. Snodgress (2022). cpfa: Classification with Parallel Factor Analysis. R package version 1.3.3, https://cran.r-project.org/web/packages/cpfa. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-09-24 21:40), 1.0-0 (2022-03-09 22:20), 1.0-1 (2022-04-09 01:22), 1.0-2 (2022-05-16 22:50), 1.0-3 (2022-06-16 04:20), 1.0-4 (2022-06-20 16:20), 1.0-5 (2023-08-07 19:30), 1.0-6 (2023-09-07 17:20), 1.0-7 (2023-10-07 17:50), 1.0-8 (2023-10-15 19:40), 1.0-9 (2023-11-19 05:00), 1.1-0 (2023-12-02 06:10), 1.1-1 (2024-02-03 20:40), 1.1-2 (2024-02-15 18:50), 1.1-3 (2024-04-07 04:43), 1.1-4 (2024-04-26 23:00), 1.1-5 (2024-10-01 17:30), 1.1-6 (2024-11-01 07:40), 1.1-7 (2025-02-23 00:10), 1.1-8 (2025-04-15 19:20), 1.1-9 (2025-05-23 21:32), 1.2-0 (2025-06-11 21:10), 1.2-1 (2025-07-08 02:00), 1.2-2 (2025-10-19 01:20), 1.2-3 (2025-11-02 23:40), 1.2-4 (2025-12-15 05:10), 1.2-5 (2026-01-15 04:40), 1.2-6 (2026-02-06 20:00), 1.2-7 (2026-03-29 22:30), 1.2-8 (2026-04-14 02:50), 1.2-9 (2026-05-08 04:41), 1.3.0 (2026-06-02 20:20), 1.3.1 (2026-07-13 07:10), 1.3.2 (2026-08-02 04:10)
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Complete documentation for cpfa
Functions, R codes and Examples using
the cpfa R package
Some associated functions: cpfa-internals . cpfa . cpm.all . cpm . predict.cpfa . print.cpfa . tune.cpfa .
Some associated R codes: cpfa.R . cpm.R . cpm.all.R . kcv.nn.R . kcv.plr.R . kcv.rda.R . kcv.rf.R . kcv.svm.R . predict.cpfa.R . print.cpfa.R . tune.cpfa.R . Full cpfa package functions and examples
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