Description
Multiblock Data Fusion in Statistics and Machine Learning.
Description
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.
README.md
multiblock
Installation
# Install release version from CRAN
install.packages("multiblock")
# Install development version from GitHub
devtools::install_github("khliland/multiblock")
Multiblock book 
This package contains a large variety of the methods described in Age K. Smilde, Tormod Næs and Kristian Hovde Liland's book:
Multiblock Data Fusion in Statistics and Machine Learning
- Applications in the Natural and Life Sciences .
Published by Wiley in May 2022.
Contents
- Functions and vignettes organised into:
- data handling
- basic methods
- unsupervised methods
- ASCA
- supervised methods
- methods for complex structures
- A selection of datasets
- Common framework and plotting routines.