Package: multiway 1.0-6
Nathaniel E. Helwig
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.
Authors:
multiway_1.0-6.tar.gz
multiway_1.0-6.tar.gz(r-4.5-noble)multiway_1.0-6.tar.gz(r-4.4-noble)
multiway_1.0-6.tgz(r-4.4-emscripten)multiway_1.0-6.tgz(r-4.3-emscripten)
multiway.pdf |multiway.html✨
multiway/json (API)
# Install 'multiway' in R: |
install.packages('multiway', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- USalcohol - United States Alcohol Consumption Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:f2e6377ccb. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
Exports:congruconst.controlcorcondiacpdcpd_nwaycpd_nwaynaed2spfitted.cpdfitted.indscalfitted.mcrfitted.parafacfitted.parafac2fitted.scafitted.tuckerfnnlsindscalinitcmlskrprodmcrmcr_parafacmcr_parafac2mcr_tuckermeansqmpinvncenternscaleparafacparafac_3wayparafac_3waynaparafac_4wayparafac_4waynaparafac2parafac2_3wayparafac2_3waynaparafac2_4wayparafac2_4waynaprint.cpdprint.indscalprint.mcrprint.parafacprint.parafac2print.scaprint.tuckerreorder.cpdreorder.indscalreorder.mcrreorder.parafacreorder.parafac2reorder.scareorder.tuckerrescalerescale.cpdrescale.indscalrescale.mcrrescale.parafacrescale.parafac2rescale.scarescale.tuckerresignresign.cpdresign.indscalresign.mcrresign.parafacresign.parafac2resign.scaresign.tuckerscasmpowersumsqtuckertucker_3waytucker_3waynatucker_4waytucker_4wayna