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:	0.8.8.2
Depends:	R (≥ 3.5.0)
Imports:	ade4, car, lme4, 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:	2024-09-16
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:

Reference manual:	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)

Downloads:

Package source:	multiblock_0.8.8.2.tar.gz
Windows binaries:	r-devel: multiblock_0.8.8.2.zip, r-release: multiblock_0.8.8.2.zip, r-oldrel: multiblock_0.8.8.2.zip
macOS binaries:	r-release (arm64): multiblock_0.8.8.2.tgz, r-oldrel (arm64): multiblock_0.8.8.2.tgz, r-release (x86_64): multiblock_0.8.8.2.tgz, r-oldrel (x86_64): multiblock_0.8.8.2.tgz
Old sources:	multiblock archive

Linking:

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