Component Models for Multi-Way Data
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- WARNING12 OK, 1 WARNING2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 26 (1 internal)includes a package overview page
- Examples that run
- 76%19 run in a plain check · 6 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 58%
Downloads
Dependencies
Installing multiway adds 2 packages (1 with compiled code, 66 KB of source tarballs). Heaviest: quadprog 35 KB, CMLS 31 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0-7Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.0-62019-03-13 · diff ↗
- 1.0-52018-06-10 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.0-42017-11-13 · diff ↗
- 1.0-32017-05-19 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2015-04-15
- Total releases
- 8 / 11 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 94 KB / 1 file
- Download size
- 175 KB
Cite
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Run in R for the authors' preferred citation:
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