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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: | 0.8.8.1 |
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: | 2024-03-11 |
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.pdf |
Vignettes: |
A. Data handling B. Basic analysis C. Unsupervised multiblock analysis D. ASCA E. Supervised multiblock analysis F. Complex multiblock analysis |
Package source: | multiblock_0.8.8.1.tar.gz |
Windows binaries: | r-devel: multiblock_0.8.8.1.zip, r-release: multiblock_0.8.8.1.zip, r-oldrel: multiblock_0.8.8.1.zip |
macOS binaries: | r-release (arm64): multiblock_0.8.8.1.tgz, r-oldrel (arm64): multiblock_0.8.8.1.tgz, r-release (x86_64): multiblock_0.8.8.1.tgz, r-oldrel (x86_64): multiblock_0.8.8.1.tgz |
Old sources: | multiblock archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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