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 |
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