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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:	0.8.10
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

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