multiway

Component Models for Multi-Way Data

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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Description file content

Package
multiway
Type
Package
Title
Component Models for Multi-Way Data
Version
1.0-6
Date
2019-03-12
Author
Nathaniel E. Helwig
Maintainer
Nathaniel E. Helwig
Depends
CMLS, parallel
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.
License
GPL (>= 2)
NeedsCompilation
no
Packaged
2019-03-12 22:41:29 UTC; Nate
Repository
CRAN
Date/Publication
2019-03-13 08:20:03 UTC

install.packages('multiway')

1.0-6

2 months ago

Nathaniel E. Helwig

GPL (>= 2)

Depends on

CMLS, parallel

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