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multiway (version 1.0-7)

Component Models for Multi-Way Data

Description

Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include N-way Canonical Polyadic Decomposition, Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.

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Version

Install

install.packages('multiway')

Monthly Downloads

876

Version

1.0-7

License

GPL (>= 2)

Maintainer

Nathaniel Helwig

Last Published

April 15th, 2025

Functions in multiway (1.0-7)

multiway-internal

Internal Multi-Way Functions
print

Print Multi-Way Model Results
reorder

Reorder Multi-Way Factors
meansq

Mean Square of Given Object
multiway-package

tools:::Rd_package_title("multiway")
parafac2

Parallel Factor Analysis-2
ncenter

Center n-th Dimension of Array
mpinv

Moore-Penrose Pseudoinverse
parafac

Parallel Factor Analysis-1
rescale

Rescales Multi-Way Factors
nscale

Scale n-th Dimension of Array
resign

Resigns Multi-Way Factors
sumsq

Sum-of-Squares of Given Object
sca

Simultaneous Component Analysis
smpower

Symmetric Matrix Power
tucker

Tucker Factor Analysis
fnnls

Fast Non-Negative Least Squares
corcondia

Core Consistency Diagnostic
fitted

Extract Multi-Way Fitted Values
const.control

Auxiliary for Controlling Multi-Way Constraints
USalcohol

United States Alcohol Consumption Data (1970-2013)
indscal

Individual Differences Scaling
cpd

N-way Canonical Polyadic Decomposition
congru

Tucker's Congruence Coefficient
krprod

Khatri-Rao Product
mcr

Multiway Covariates Regression