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 [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=multiblock to link to this page.
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