Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
1.0-7 rolling linux/jammy R-4.5 multiway_1.0-7.tar.gz 638.4 KiB
1.0-7 rolling linux/noble R-4.5 multiway_1.0-7.tar.gz 638.5 KiB
1.0-7 rolling source/ R- multiway_1.0-7.tar.gz 173.6 KiB
1.0-7 latest linux/jammy R-4.5 multiway_1.0-7.tar.gz 638.4 KiB
1.0-7 latest linux/noble R-4.5 multiway_1.0-7.tar.gz 638.5 KiB
1.0-7 latest source/ R- multiway_1.0-7.tar.gz 173.6 KiB
1.0-7 2026-04-26 source/ R- multiway_1.0-7.tar.gz 173.6 KiB
1.0-7 2026-04-23 source/ R- multiway_1.0-7.tar.gz 173.6 KiB
1.0-7 2026-04-09 windows/windows R-4.5 multiway_1.0-7.zip 641.9 KiB
1.0-7 2025-04-20 source/ R- multiway_1.0-7.tar.gz 173.6 KiB

Dependencies (latest)

Depends