multiblock: Multiblock Data Fusion in Statistics and Machine Learning
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: | 0.8.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ade4, car, FactoMineR, geigen, lme4, MASS, mixlm, plotrix, pls, plsVarSel, pracma, progress, r.jive, Rcpp, RegularizedSCA, RGCCA, RSpectra, SSBtools |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | rmarkdown, knitr |
| Published: | 2022-06-07 |
| Author: | Kristian Hovde Liland
 [aut, cre],
Solve Sæbø [ctb],
Stefan Schrunner [rev] |
| 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 |
Documentation:
| Reference manual: | multiblock.pdf |
| Vignettes: |
A. Data handling B. Basic analysis C. Unsupervised multiblock analysis D. ASCA E. Supervised multiblock analysis F. Complex multiblock analysis |
Downloads:
| Package source: | multiblock_0.8.2.tar.gz |
| Windows binaries: | r-devel: multiblock_0.8.2.zip, r-release: multiblock_0.8.2.zip, r-oldrel: multiblock_0.8.2.zip |
| macOS binaries: | r-release (arm64): multiblock_0.8.2.tgz, r-oldrel (arm64): multiblock_0.8.2.tgz, r-release (x86_64): multiblock_0.8.2.tgz, r-oldrel (x86_64): multiblock_0.8.2.tgz |
| Old sources: | multiblock archive |
Linking:
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