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.

Total

13,450

Last month

817

Last week

191

Average per day

27

Daily downloads

Total downloads

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

10 days ago

Nathaniel E. Helwig

GPL (>= 2)

Depends on

CMLS, parallel

Discussions