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.
- Version0.8.8.2
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/16/2024
Documentation
- VignetteA. Data handling
- Vignettesource
- VignetteR code
- VignetteB. Basic analysis
- Vignettesource
- VignetteR code
- VignetteC. Unsupervised multiblock analysis
- Vignettesource
- VignetteR code
- VignetteD. ASCA
- Vignettesource
- VignetteR code
- VignetteE. Supervised multiblock analysis
- Vignettesource
- VignetteR code
- VignetteF. Complex multiblock analysis
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
Team
Kristian Hovde Liland
Solve Sæbø
Show author detailsRolesContributorStefan Schrunner
Show author detailsRolesReviewer
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- Depends1 package
- Imports13 packages
- Suggests7 packages
- Linking To2 packages