R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
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", "1.2-5") Attach the package and use:
library("cpfa")
Maintained by
Matthew A. Snodgress
[Scholar Profile | Author Map]
[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 1.2-5, https://cran.r-project.org/web/packages/cpfa. Accessed 07 Jun. 2026.
Previous versions and publish date:
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)
Other packages that cited cpfa R package
View cpfa citation profile
Other R packages that cpfa depends,
imports, suggests or enhances
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
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
curtailment
Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Martin Law (view profile)
keep
Provides arrays with flexible control over dimension dropping when subscripting. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Paavo Jumppanen (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
cesR
Makes accessing and loading the Canadian Election Study (, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Paul A. Hodgetts (view profile)
embryogrowth
Tools to analyze the embryo growth and the sexualisation thermal reaction norms. See ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marc Girondot (view profile)
gRain
Probability propagation in graphical independence networks, also
known as Bayesian networks or prob ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Søren Højsgaard (view profile)
27,372
R Packages
233,548
Dependencies
72,820
Author Associations
27,205
Publication Badges
