Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
| Version: | 0.8.10 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | ade4, car, HDANOVA (≥ 0.8.2), MASS, mixlm, plotrix, pls, plsVarSel, pracma, progress, Rcpp, RSpectra, SSBtools | 
| LinkingTo: | Rcpp, RcppEigen | 
| Suggests: | EMSC, FactoMineR, geigen, RGCCA (≥ 3.0.0), r.jive, rmarkdown, knitr | 
| Published: | 2025-04-01 | 
| DOI: | 10.32614/CRAN.package.multiblock | 
| Author: | Kristian Hovde Liland | 
| Maintainer: | Kristian Hovde Liland <kristian.liland at nmbu.no> | 
| BugReports: | https://github.com/khliland/multiblock/issues/ | 
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| URL: | https://khliland.github.io/multiblock/, https://github.com/khliland/multiblock/ | 
| NeedsCompilation: | yes | 
| Materials: | README, NEWS | 
| CRAN checks: | multiblock results | 
| Reference manual: | multiblock.html , multiblock.pdf | 
| Vignettes: | A. Data handling (source, R code) B. Basic analysis (source, R code) C. Unsupervised multiblock analysis (source, R code) D. ASCA (source, R code) E. Supervised multiblock analysis (source, R code) F. Complex multiblock analysis (source, R code) | 
| Package source: | multiblock_0.8.10.tar.gz | 
| Windows binaries: | r-devel: multiblock_0.8.10.zip, r-release: multiblock_0.8.10.zip, r-oldrel: multiblock_0.8.10.zip | 
| macOS binaries: | r-release (arm64): multiblock_0.8.10.tgz, r-oldrel (arm64): multiblock_0.8.10.tgz, r-release (x86_64): multiblock_0.8.10.tgz, r-oldrel (x86_64): multiblock_0.8.10.tgz | 
| Old sources: | multiblock archive | 
Please use the canonical form https://CRAN.R-project.org/package=multiblock to link to this page.