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multiway (version 1.0-2)

Component Models for Multi-Way Data

Description

Fits multi-way component models via alternating least squares algorithms with optional constraints (orthogonality, non-negativity, and structural). Fit models include Individual Differences Scaling, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.

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Version

Install

install.packages('multiway')

Monthly Downloads

1,275

Version

1.0-2

License

GPL (>= 2)

Last Published

February 19th, 2016

Functions in multiway (1.0-2)

rescale

Rescales Multi-Way Factors
fnnls

Fast Non-Negative Least Squares
parafac

Parallel Factor Analysis-1
corcondia

Core Consistency Diagnostic
parafac2

Parallel Factor Analysis-2
ncenter

Center n-th Dimension of Array
sumsq

Sum-of-Squares of Given Object
multiway-internal

Internal Multi-Way Functions
krprod

Khatri-Rao Product
fitted

Extract Multi-Way Fitted Values
congru

Tucker's Congruence Coefficient
multiway-package

Component Models for Multi-Way Data
indscal

Individual Differences Scaling
smpower

Symmetric Matrix Power
mpinv

Moore-Penrose Pseudoinverse
resign

Resigns Multi-Way Factors
nscale

Scale n-th Dimension of Array
tucker

Tucker Factor Analysis
sca

Simultaneous Component Analysis
reorder

Reorder Multi-Way Factors